Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6758
Single Precision Score
4653
Half Precision Score
16692
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4095
761.5 IPS |
|
|
Image Classification (HP)
|
100% |
3043
565.9 IPS |
|
|
Image Classification (Q)
|
100% |
10211
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5448
88.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12352
200.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7763
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
5174
6.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
29872
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3874
307.3 IPS |
|
|
Object Detection (HP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (Q)
|
88% |
11109
890.5 IPS |
|
|
Face Detection (SP)
|
100% |
12035
143.0 IPS |
|
|
Face Detection (HP)
|
100% |
9273
110.2 IPS |
|
|
Face Detection (Q)
|
100% |
29693
352.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9929
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7221
55.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
30001
233.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23483
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14856
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86777
111.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3343
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16727
619.4 IPS |
|
|
Text Classification (SP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5181
89.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5139
88.5 IPS |
