Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
1722
Single Precision Score
554
Half Precision Score
2128
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 02:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1182
219.8 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
97% |
2437
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
1399
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2627
3.07 IPS |
|
|
Pose Estimation (Q)
|
87% |
6841
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
86% |
1299
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (Q)
|
96% |
1874
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3348
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
714
5.50 IPS |
|
|
Depth Estimation (Q)
|
76% |
3402
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7335
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
6543
8.41 IPS |
|
|
Style Transfer (Q)
|
87% |
7543
9.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2038
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
539
719.2 IPS |
|
|
Text Classification (Q)
|
97% |
392
524.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
60% |
1643
36.6 IPS |
