Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3344
Single Precision Score
1418
Half Precision Score
6041
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 10:27 AM |
| Views | 3 |
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 UNIFY (MS-7C35) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2479
461.1 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
96% |
5575
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
7954
129.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8092
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5435
6.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
18625
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
58% |
4460
487.3 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
9086
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7406
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12422
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17236
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15278
19.6 IPS |
|
|
Style Transfer (Q)
|
87% |
15741
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3619
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
587
782.9 IPS |
|
|
Text Classification (Q)
|
97% |
1076
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2544
49.1 IPS |
