Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
883
Single Precision Score
493
Half Precision Score
989
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 23 2025 06:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 1600 |
| 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% |
581
108.0 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
96% |
732
136.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1293
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
1668
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.6 IPS |
|
|
Object Detection (Q)
|
58% |
561
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (Q)
|
96% |
2028
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
744
5.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
1925
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3349
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2893
3.72 IPS |
|
|
Style Transfer (Q)
|
87% |
3766
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
704
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.9 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.7 IPS |
|
|
Text Classification (Q)
|
97% |
218
291.7 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
68% |
861
16.6 IPS |
