Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
3588
Single Precision Score
1325
Half Precision Score
5661
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | David3737 |
| Upload Date | May 03 2025 08:55 AM |
| Views | 2 |
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-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
96% |
5517
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
3070
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8730
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5366
6.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
19223
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (Q)
|
58% |
4512
493.0 IPS |
|
|
Face Detection (SP)
|
100% |
4894
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (Q)
|
96% |
9513
113.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2134
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13506
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19388
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13014
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
16587
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3217
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
518
691.6 IPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2834
54.8 IPS |
