Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
4069
Single Precision Score
1883
Half Precision Score
7443
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 12:26 PM |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3566
663.2 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (Q)
|
99% |
7506
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3692
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5095
5.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
21557
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2987
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
8046
646.7 IPS |
|
|
Face Detection (SP)
|
100% |
5656
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
8865
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7780
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2579
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16201
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15096
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12981
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18024
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3021
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2182
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4414
88.7 IPS |
