Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
7364
Single Precision Score
7384
Half Precision Score
8848
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 31 2025 06:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-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 ACE (MS-7C35) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4401
818.4 IPS |
|
|
Image Classification (HP)
|
100% |
4096
761.8 IPS |
|
|
Image Classification (Q)
|
100% |
6006
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5799
94.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6446
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9479
154.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13141
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13207
15.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
26590
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
5156
408.9 IPS |
|
|
Object Detection (HP)
|
100% |
4838
383.7 IPS |
|
|
Object Detection (Q)
|
87% |
6702
537.6 IPS |
|
|
Face Detection (SP)
|
100% |
10258
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
10659
126.7 IPS |
|
|
Face Detection (Q)
|
97% |
20372
242.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12146
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12600
97.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
22107
174.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37593
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36810
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
72175
93.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7088
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12263
454.2 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (Q)
|
91% |
289
388.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2517
43.4 IPS |
