Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4313
Single Precision Score
2019
Half Precision Score
8288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 11:12 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% |
3521
654.7 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (Q)
|
99% |
8031
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3893
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6390
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
23390
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2980
236.4 IPS |
|
|
Object Detection (HP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
86% |
8540
686.4 IPS |
|
|
Face Detection (SP)
|
100% |
7811
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
10622
126.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2928
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17308
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16508
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13561
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27441
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4578
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2196
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4830
97.1 IPS |
