Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
2610
Single Precision Score
2609
Half Precision Score
2936
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 01:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3100 4-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (Q)
|
100% |
1960
364.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1183
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3951
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3952
4.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
4113
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
1641
130.1 IPS |
|
|
Object Detection (Q)
|
87% |
1942
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (Q)
|
97% |
6049
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4731
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4652
35.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5042
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11208
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11222
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11699
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2480
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1132
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2590
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2570
44.3 IPS |
