Gigabyte Technology Co., Ltd. B450M DS3H
Geekbench AI Score
1135
Single Precision Score
643
Half Precision Score
1003
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Saud_Ahmed_Alhazmi |
| Upload Date | April 10 2025 03:57 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
96% |
792
148.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
653
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
1504
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (Q)
|
58% |
534
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (Q)
|
96% |
2004
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2057
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
963
7.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1884
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3951
5.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (Q)
|
87% |
3519
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
727
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.0 IPS |
|
|
Text Classification (HP)
|
100% |
379
505.7 IPS |
|
|
Text Classification (Q)
|
97% |
285
381.2 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
68% |
908
17.6 IPS |
