Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2957
Single Precision Score
792
Half Precision Score
3156
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | August 18 2024 01:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR MAX WIFI (MS-7C94) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.0 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
97% |
3151
588.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
1845
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4660
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3781
4.41 IPS |
|
|
Pose Estimation (Q)
|
87% |
9961
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
86% |
2027
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (Q)
|
96% |
3853
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6032
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
995
7.67 IPS |
|
|
Depth Estimation (Q)
|
76% |
5800
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12522
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10025
12.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14027
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2855
105.8 IPS |
|
|
Text Classification (SP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.5 IPS |
|
|
Text Classification (Q)
|
97% |
424
567.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2427
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2207
49.2 IPS |
