Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2520
Single Precision Score
696
Half Precision Score
3316
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | colonelmad |
| Upload Date | August 15 2024 05:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
97% |
2956
551.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
2270
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3894
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3143
3.67 IPS |
|
|
Pose Estimation (Q)
|
87% |
8363
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
86% |
1633
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (Q)
|
96% |
3014
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4914
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
897
6.91 IPS |
|
|
Depth Estimation (Q)
|
76% |
5195
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9859
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7602
9.77 IPS |
|
|
Style Transfer (Q)
|
87% |
10949
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2054
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2934
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
728
972.0 IPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2165
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2374
53.0 IPS |
