Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
11078
Single Precision Score
12842
Half Precision Score
8683
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | danny22 |
| Upload Date | April 27 2025 02:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4732
879.9 IPS |
|
|
Image Classification (HP)
|
100% |
5752
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
4382
815.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6167
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5457
88.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5016
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
74326
86.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
112482
131.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
60191
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
5552
440.4 IPS |
|
|
Object Detection (HP)
|
100% |
5745
455.7 IPS |
|
|
Object Detection (Q)
|
88% |
5126
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
12038
143.0 IPS |
|
|
Face Detection (HP)
|
100% |
15535
184.6 IPS |
|
|
Face Detection (Q)
|
97% |
11137
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29888
230.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34455
265.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
22711
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
139977
179.9 IPS |
|
|
Style Transfer (HP)
|
100% |
182879
235.1 IPS |
|
|
Style Transfer (Q)
|
98% |
113429
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16267
600.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20922
772.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11831
438.1 IPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1024
19.2 IPS |
