Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2206
Single Precision Score
2219
Half Precision Score
1159
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 14 2025 03:39 PM |
| Views | 3 |
| Notes | Pre Kernel switch to HWE |
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 | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1638
304.6 IPS |
|
|
Image Classification (HP)
|
100% |
1647
306.3 IPS |
|
|
Image Classification (Q)
|
99% |
710
132.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2385
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2048
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (Q)
|
85% |
741
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
1939
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2438
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2440
18.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1508
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2804
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2869
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
4124
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
649
871.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (Q)
|
58% |
567
13.3 IPS |
