Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4
Geekbench AI Score
24136
Single Precision Score
38041
Half Precision Score
19450
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 23 2025 02:05 AM |
| Views | 59 |
| Notes | 2400 MT/s memory speed +0 MHz Gclk -0mV voltage offset +0% power zeroRpmDisabled +0MHz Vclk regular Timing ReBAR = on FanExtCtrl |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11707
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
13355
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10362
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14532
235.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20505
332.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13216
214.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123578
144.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
426631
497.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
110090
129.0 IPS |
|
|
Object Detection (SP)
|
100% |
9762
774.3 IPS |
|
|
Object Detection (HP)
|
99% |
14950
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
8848
710.6 IPS |
|
|
Face Detection (SP)
|
100% |
27415
325.8 IPS |
|
|
Face Detection (HP)
|
100% |
38512
457.6 IPS |
|
|
Face Detection (Q)
|
97% |
25057
298.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
63377
488.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96699
745.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
50743
406.9 IPS |
|
|
Style Transfer (SP)
|
100% |
225257
289.6 IPS |
|
|
Style Transfer (HP)
|
100% |
487793
627.1 IPS |
|
|
Style Transfer (Q)
|
98% |
203318
262.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38948
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79108
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30606
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4924
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2883
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4955
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2547
47.8 IPS |
