Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6469
Single Precision Score
4432
Half Precision Score
15937
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 07:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4245
789.5 IPS |
|
|
Image Classification (HP)
|
100% |
3183
592.0 IPS |
|
|
Image Classification (Q)
|
100% |
10113
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5353
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12087
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7604
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
28628
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3665
290.7 IPS |
|
|
Object Detection (HP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (Q)
|
88% |
11107
890.4 IPS |
|
|
Face Detection (SP)
|
100% |
11540
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
9453
112.3 IPS |
|
|
Face Detection (Q)
|
100% |
29244
347.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9881
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7263
56.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29332
228.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22863
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14576
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82474
106.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2463
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15397
570.2 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5666
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4593
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4407
75.9 IPS |
