Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
3280
Single Precision Score
1454
Half Precision Score
4178
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | October 29 2024 08:46 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| 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 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
96% |
3456
645.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2621
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7492
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5881
6.86 IPS |
|
|
Pose Estimation (Q)
|
87% |
16812
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
1776
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
4482
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7176
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7350
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18489
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15325
19.7 IPS |
|
|
Style Transfer (Q)
|
87% |
20118
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2385
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3016
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
568
757.9 IPS |
|
|
Text Classification (Q)
|
97% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2368
52.8 IPS |
