Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
1472
Single Precision Score
807
Half Precision Score
1398
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 06:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3100 |
| 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 | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
870
161.7 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
96% |
1052
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
892
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (Q)
|
87% |
2759
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
945
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
86% |
791
63.5 IPS |
|
|
Face Detection (SP)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
966
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
2191
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3094
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
77% |
2655
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6490
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
5054
6.50 IPS |
|
|
Style Transfer (Q)
|
87% |
6310
8.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1133
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
392
522.7 IPS |
|
|
Text Classification (Q)
|
97% |
310
414.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (Q)
|
60% |
1085
24.2 IPS |
