Gigabyte Technology Co., Ltd. B760M GAMING PLUS WIFI DDR4
Geekbench AI Score
24510
Single Precision Score
38024
Half Precision Score
19832
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phils8s4 |
| Upload Date | December 23 2025 01:00 AM |
| Views | 56 |
| Notes | 2400 MT/s memory speed 'Favour Performance' GPU settings Resizable BAR = on |
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% |
11395
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
14386
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
11047
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14742
239.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20701
335.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13654
222.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
122689
143.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
417149
486.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
110488
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
10157
805.7 IPS |
|
|
Object Detection (HP)
|
99% |
14741
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
8881
713.2 IPS |
|
|
Face Detection (SP)
|
100% |
27899
331.5 IPS |
|
|
Face Detection (HP)
|
100% |
37362
443.9 IPS |
|
|
Face Detection (Q)
|
97% |
26152
311.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
66689
513.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99103
763.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
53127
426.1 IPS |
|
|
Style Transfer (SP)
|
100% |
237321
305.1 IPS |
|
|
Style Transfer (HP)
|
100% |
475201
610.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199979
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40683
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81515
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31317
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4248
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4699
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2947
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2480
46.5 IPS |
