Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6877
Single Precision Score
2656
Half Precision Score
11913
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
5395
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
881
163.8 IPS |
|
|
Image Classification (Q)
|
99% |
9987
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17028
276.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14569
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8743
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
45992
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
5059
401.2 IPS |
|
|
Object Detection (HP)
|
100% |
1157
91.8 IPS |
|
|
Object Detection (Q)
|
86% |
11696
940.0 IPS |
|
|
Face Detection (SP)
|
100% |
14821
176.1 IPS |
|
|
Face Detection (HP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
14031
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15362
118.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3704
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24979
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31676
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20536
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34772
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3766
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7069
261.8 IPS |
|
|
Text Classification (SP)
|
100% |
1982
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1601
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4566
91.7 IPS |
