Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E
Geekbench AI Score
3869
Single Precision Score
1762
Half Precision Score
7250
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 07:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| 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 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3168
589.2 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
99% |
7486
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3575
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5663
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4759
5.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
20919
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2956
234.4 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
86% |
7838
629.9 IPS |
|
|
Face Detection (SP)
|
100% |
5305
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
9085
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7278
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2430
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14685
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15136
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11932
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18399
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2935
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4109
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2044
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4436
89.1 IPS |
