Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2340
Single Precision Score
2355
Half Precision Score
1174
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tron33 |
| Upload Date | July 14 2025 03:54 PM |
| Views | 5 |
| Notes | 24.04 HWE 6.11.0-29-generic |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
812
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2087
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (Q)
|
85% |
752
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
1971
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2704
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2752
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1519
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3018
3.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3031
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
4273
5.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1115
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
663
890.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (Q)
|
58% |
574
13.5 IPS |
