Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
6659
Single Precision Score
4612
Half Precision Score
16425
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 04:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| Power Plan | pikov vkon |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4299
799.4 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (Q)
|
100% |
10185
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5255
85.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12571
203.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7820
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5126
5.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
29600
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
3845
305.0 IPS |
|
|
Object Detection (HP)
|
100% |
2986
236.8 IPS |
|
|
Object Detection (Q)
|
88% |
10638
852.8 IPS |
|
|
Face Detection (SP)
|
100% |
11890
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
9352
111.1 IPS |
|
|
Face Detection (Q)
|
100% |
27272
324.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9712
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7243
55.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30461
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23607
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14661
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
84988
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3301
121.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16360
605.9 IPS |
|
|
Text Classification (SP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5927
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5180
89.2 IPS |
