Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
29151
Single Precision Score
32200
Half Precision Score
22571
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 10 2025 09:50 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| 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% |
12901
2.40 KIPS |
|
|
Image Classification (HP)
|
100% |
12706
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
10406
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15180
246.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13633
221.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15704
255.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
202981
236.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
308003
359.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
169942
199.1 IPS |
|
|
Object Detection (SP)
|
100% |
12796
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
13119
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
10709
860.1 IPS |
|
|
Face Detection (SP)
|
100% |
38404
456.3 IPS |
|
|
Face Detection (HP)
|
100% |
41459
492.6 IPS |
|
|
Face Detection (Q)
|
97% |
30760
366.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
74964
577.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
80764
622.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
56126
450.7 IPS |
|
|
Style Transfer (SP)
|
100% |
361113
464.2 IPS |
|
|
Style Transfer (HP)
|
100% |
496885
638.8 IPS |
|
|
Style Transfer (Q)
|
98% |
293979
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42835
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50157
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31181
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2415
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5283
91.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3020
56.7 IPS |
