Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4548
Single Precision Score
2045
Half Precision Score
8259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:34 AM |
| Views | 2 |
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% |
3678
683.9 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
99% |
8089
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3907
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6671
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5664
6.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
23634
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3414
270.8 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
8536
686.0 IPS |
|
|
Face Detection (SP)
|
100% |
7594
90.2 IPS |
|
|
Face Detection (HP)
|
100% |
2237
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
10263
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8764
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2921
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16955
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17065
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13604
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26748
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3215
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2754
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4514
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4877
98.0 IPS |
