Micro-Star International Co., Ltd. MS-7A36
Geekbench AI Score
34
Single Precision Score
34
Half Precision Score
35
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 24 2025 04:13 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% |
12
2.30 IPS |
|
|
Image Classification (HP)
|
100% |
11
2.03 IPS |
|
|
Image Classification (Q)
|
99% |
11
2.04 IPS |
|
|
Image Segmentation (SP)
|
100% |
52
0.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
45
0.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
143
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
141
0.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
118
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
19
1.51 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.38 IPS |
|
|
Object Detection (Q)
|
85% |
18
1.43 IPS |
|
|
Face Detection (SP)
|
100% |
65
0.78 IPS |
|
|
Face Detection (HP)
|
100% |
68
0.81 IPS |
|
|
Face Detection (Q)
|
97% |
86
1.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
90
0.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
89
0.69 IPS |
|
|
Depth Estimation (Q)
|
63% |
83
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
204
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
205
0.26 IPS |
|
|
Style Transfer (Q)
|
98% |
403
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61
2.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55
2.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
51
1.89 IPS |
|
|
Text Classification (SP)
|
100% |
3
3.79 IPS |
|
|
Text Classification (HP)
|
100% |
3
3.70 IPS |
|
|
Text Classification (Q)
|
92% |
3
4.14 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 |
