Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
4861
Single Precision Score
1801
Half Precision Score
6948
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 31 2025 06:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
3741
695.7 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (Q)
|
96% |
6416
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
8689
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12163
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8329
9.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
21957
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3861
306.3 IPS |
|
|
Object Detection (HP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (Q)
|
58% |
4944
540.2 IPS |
|
|
Face Detection (SP)
|
100% |
7503
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
96% |
9634
114.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11876
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15927
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24614
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20877
26.8 IPS |
|
|
Style Transfer (Q)
|
87% |
22651
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2122
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3703
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
694
926.9 IPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2948
57.0 IPS |
