Gigabyte Technology Co., Ltd. B650M H
Geekbench AI Score
3064
Single Precision Score
1449
Half Precision Score
5752
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G |
| 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 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
5819
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2869
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4790
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4026
4.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
17209
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2357
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (Q)
|
86% |
6022
484.0 IPS |
|
|
Face Detection (SP)
|
100% |
5314
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
8356
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6216
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2244
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7041
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11837
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9881
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23317
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3350
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.2 IPS |
|
|
Text Classification (Q)
|
97% |
1731
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2885
58.0 IPS |
