Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3903
Single Precision Score
1677
Half Precision Score
5883
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 ACE (MS-7C35) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3092
575.1 IPS |
|
|
Image Classification (HP)
|
100% |
634
118.0 IPS |
|
|
Image Classification (Q)
|
96% |
5102
952.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
6233
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5287
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
11681
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
58% |
3584
391.6 IPS |
|
|
Face Detection (SP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (HP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (Q)
|
96% |
8712
103.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7018
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2393
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12098
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13194
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10930
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
17336
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4173
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1435
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3411
65.9 IPS |
