Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3749
Single Precision Score
1591
Half Precision Score
5420
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | September 24 2025 12:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| 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 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2877
535.0 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.3 IPS |
|
|
Image Classification (Q)
|
96% |
4568
853.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
5780
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5476
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4475
5.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
11181
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
58% |
3269
357.2 IPS |
|
|
Face Detection (SP)
|
100% |
8312
98.8 IPS |
|
|
Face Detection (HP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (Q)
|
96% |
8007
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7254
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2173
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11607
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13492
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10707
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15532
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2240
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3881
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3001
58.0 IPS |
