Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
4597
Single Precision Score
1602
Half Precision Score
6275
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | David3737 |
| Upload Date | May 06 2025 03:27 AM |
| Views | 3 |
| Notes | 64 GB 3600 |
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) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3471
645.6 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
96% |
6124
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
3219
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10951
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
20497
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (Q)
|
58% |
4852
530.1 IPS |
|
|
Face Detection (SP)
|
100% |
7201
85.6 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
10018
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10949
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15143
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23501
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19099
24.6 IPS |
|
|
Style Transfer (Q)
|
87% |
22077
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2510
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3273
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.1 IPS |
|
|
Text Classification (Q)
|
97% |
1330
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3313
64.0 IPS |
