Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4519
Single Precision Score
2052
Half Precision Score
8340
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3626
674.4 IPS |
|
|
Image Classification (HP)
|
100% |
812
151.0 IPS |
|
|
Image Classification (Q)
|
99% |
8083
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3930
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6719
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5665
6.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
23583
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (HP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (Q)
|
86% |
8394
674.6 IPS |
|
|
Face Detection (SP)
|
100% |
7806
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
10640
126.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8784
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2934
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17143
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16995
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13791
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28772
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4534
167.9 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4815
96.8 IPS |
