Micro-Star International Co., Ltd. MS-7A36
Geekbench AI Score
39
Single Precision Score
34
Half Precision Score
33
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 24 2025 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3500 |
| System Information | |
|---|---|
| Operating System | Bazzite 42 (FROM Fedora Silverblue) |
| Model | Micro-Star International Co., Ltd. MS-7A36 |
| Motherboard | Micro-Star International Co., Ltd. A320M PRO-VD/S V2 (MS-7A36) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.12 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
20
3.77 IPS |
|
|
Image Classification (HP)
|
100% |
11
2.02 IPS |
|
|
Image Classification (Q)
|
99% |
11
1.98 IPS |
|
|
Image Segmentation (SP)
|
100% |
55
0.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
41
0.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
146
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
131
0.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
106
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
21
1.64 IPS |
|
|
Object Detection (HP)
|
100% |
16
1.30 IPS |
|
|
Object Detection (Q)
|
85% |
17
1.39 IPS |
|
|
Face Detection (SP)
|
100% |
72
0.85 IPS |
|
|
Face Detection (HP)
|
100% |
63
0.75 IPS |
|
|
Face Detection (Q)
|
97% |
82
0.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
85
0.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
88
0.68 IPS |
|
|
Depth Estimation (Q)
|
63% |
70
0.66 IPS |
|
|
Style Transfer (SP)
|
100% |
234
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
249
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
401
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62
2.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
61
2.26 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.34 IPS |
|
|
Text Classification (HP)
|
100% |
3
3.70 IPS |
|
|
Text Classification (Q)
|
92% |
3
3.98 IPS |
|
|
Machine Translation (SP)
|
100% |
7
0.12 IPS |
|
|
Machine Translation (HP)
|
100% |
7
0.12 IPS |
|
|
Machine Translation (Q)
|
58% |
6
0.15 IPS |
