Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
4199
Single Precision Score
1861
Half Precision Score
7668
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 08:04 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 H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3436
639.1 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
99% |
7487
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3608
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6308
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5304
6.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
21866
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3194
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
86% |
7717
620.2 IPS |
|
|
Face Detection (SP)
|
100% |
7354
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
2038
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
9782
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8089
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2667
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16110
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15947
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12925
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26483
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2998
110.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4107
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2017
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4463
89.7 IPS |
