Micro-Star International Co., Ltd. MS-7A36
Geekbench AI Score
9
Single Precision Score
8
Half Precision Score
6
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 25 2025 02:31 AM |
| 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% |
3
0.63 IPS |
|
|
Image Classification (HP)
|
100% |
3
0.52 IPS |
|
|
Image Classification (Q)
|
97% |
2
0.40 IPS |
|
|
Image Segmentation (SP)
|
100% |
4
0.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
4
0.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1
0.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
11
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
11
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
9
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
11
0.87 IPS |
|
|
Object Detection (HP)
|
100% |
6
0.50 IPS |
|
|
Object Detection (Q)
|
87% |
5
0.40 IPS |
|
|
Face Detection (SP)
|
100% |
23
0.27 IPS |
|
|
Face Detection (HP)
|
100% |
23
0.27 IPS |
|
|
Face Detection (Q)
|
97% |
19
0.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
16
0.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
16
0.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
12
0.11 IPS |
|
|
Style Transfer (SP)
|
100% |
35
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
35
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
29
0.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8
0.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6
0.21 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.28 IPS |
|
|
Text Classification (HP)
|
100% |
4
5.22 IPS |
|
|
Text Classification (Q)
|
91% |
4
5.05 IPS |
|
|
Machine Translation (SP)
|
100% |
8
0.14 IPS |
|
|
Machine Translation (HP)
|
100% |
8
0.14 IPS |
|
|
Machine Translation (Q)
|
58% |
7
0.17 IPS |
