Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
3474
Single Precision Score
3852
Half Precision Score
2575
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 28 2025 11:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon(TM) RX 460 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (HP)
|
100% |
1767
328.6 IPS |
|
|
Image Classification (Q)
|
100% |
1177
218.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1341
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15640
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17012
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13842
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (Q)
|
86% |
1382
111.1 IPS |
|
|
Face Detection (SP)
|
100% |
4118
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (Q)
|
97% |
3251
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9005
69.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6201
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26982
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28725
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22507
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.7 IPS |
|
|
Text Classification (HP)
|
100% |
725
967.4 IPS |
|
|
Text Classification (Q)
|
97% |
422
565.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
70% |
633
11.9 IPS |
