Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
1596
Single Precision Score
870
Half Precision Score
1634
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 07:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
898
167.0 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
96% |
1329
248.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2764
3.22 IPS |
|
|
Pose Estimation (Q)
|
87% |
3983
4.70 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (Q)
|
86% |
899
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
2211
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2815
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2911
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7698
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6258
8.04 IPS |
|
|
Style Transfer (Q)
|
87% |
8425
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1361
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
390
521.1 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
60% |
1095
24.4 IPS |
