Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
5690
Single Precision Score
5669
Half Precision Score
7709
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | October 01 2025 11:59 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| 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% |
3442
640.0 IPS |
|
|
Image Classification (HP)
|
100% |
3441
639.9 IPS |
|
|
Image Classification (Q)
|
100% |
4973
924.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4173
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6159
100.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6794
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
13666
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
3382
268.3 IPS |
|
|
Object Detection (HP)
|
100% |
3425
271.7 IPS |
|
|
Object Detection (Q)
|
87% |
5200
417.1 IPS |
|
|
Face Detection (SP)
|
100% |
10208
121.3 IPS |
|
|
Face Detection (HP)
|
100% |
10267
122.0 IPS |
|
|
Face Detection (Q)
|
97% |
15527
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8888
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8757
67.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
14530
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20008
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19972
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38137
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7662
283.8 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (Q)
|
91% |
1063
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4615
79.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4864
83.8 IPS |
