Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
3808
Single Precision Score
5114
Half Precision Score
2797
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2913
541.7 IPS |
|
|
Image Classification (HP)
|
100% |
3638
676.5 IPS |
|
|
Image Classification (Q)
|
99% |
2116
394.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5417
87.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1664
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9441
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14315
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
8272
9.69 IPS |
|
|
Object Detection (SP)
|
100% |
2832
224.6 IPS |
|
|
Object Detection (HP)
|
99% |
3509
279.1 IPS |
|
|
Object Detection (Q)
|
85% |
2127
171.1 IPS |
|
|
Face Detection (SP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
6172
73.3 IPS |
|
|
Face Detection (Q)
|
97% |
3789
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8721
67.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
14484
112.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6460
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26643
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33677
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20862
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4199
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3032
112.3 IPS |
|
|
Text Classification (SP)
|
86% |
598
809.4 IPS |
|
|
Text Classification (HP)
|
99% |
622
830.8 IPS |
|
|
Text Classification (Q)
|
84% |
445
604.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
689
12.9 IPS |
