Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
11918
Single Precision Score
14016
Half Precision Score
8761
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | danny22 |
| Upload Date | April 29 2025 01:41 PM |
| Views | 6 |
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% |
5323
990.0 IPS |
|
|
Image Classification (HP)
|
100% |
6279
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
4313
802.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6167
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6876
111.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4573
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
75737
88.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108012
126.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
63262
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
5465
433.5 IPS |
|
|
Object Detection (HP)
|
100% |
6232
494.3 IPS |
|
|
Object Detection (Q)
|
88% |
5009
401.6 IPS |
|
|
Face Detection (SP)
|
100% |
14332
170.3 IPS |
|
|
Face Detection (HP)
|
100% |
12170
144.6 IPS |
|
|
Face Detection (Q)
|
97% |
12188
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28774
221.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35155
270.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
22733
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
147179
189.2 IPS |
|
|
Style Transfer (HP)
|
100% |
212207
272.8 IPS |
|
|
Style Transfer (Q)
|
98% |
118532
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18002
664.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22151
817.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12811
474.4 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (Q)
|
70% |
981
18.4 IPS |
