Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5
Geekbench AI Score
4426
Single Precision Score
1645
Half Precision Score
7653
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:36 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3438
639.3 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
99% |
6539
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4010
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7409
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4394
5.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
25287
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3310
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
6829
548.8 IPS |
|
|
Face Detection (SP)
|
100% |
8938
106.2 IPS |
|
|
Face Detection (HP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
10407
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9769
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2135
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16974
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17738
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10849
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26837
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
1757
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3439
69.1 IPS |
