Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2799
Single Precision Score
1258
Half Precision Score
4668
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 06:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2380
442.7 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
96% |
4536
847.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5229
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
8663
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
58% |
2427
265.2 IPS |
|
|
Face Detection (SP)
|
100% |
4271
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
6500
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4848
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1623
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8445
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9464
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7693
9.89 IPS |
|
|
Style Transfer (Q)
|
87% |
13799
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3427
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1434
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2651
51.2 IPS |
