Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
4846
Single Precision Score
4762
Half Precision Score
7155
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 08 2024 12:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| 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 | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (HP)
|
100% |
3129
581.9 IPS |
|
|
Image Classification (Q)
|
100% |
5098
948.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3114
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5319
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8104
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
8519
9.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
18264
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
3541
280.9 IPS |
|
|
Object Detection (HP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (Q)
|
87% |
5884
471.9 IPS |
|
|
Face Detection (SP)
|
100% |
8457
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (Q)
|
97% |
17367
207.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8987
69.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
9421
72.6 IPS |
|
|
Depth Estimation (Q)
|
79% |
16606
131.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24666
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25409
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
52055
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4907
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9735
360.6 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
91% |
457
613.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (Q)
|
90% |
1808
31.4 IPS |
