Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5312
Single Precision Score
7941
Half Precision Score
11620
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 04:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3504
651.7 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.8 IPS |
|
|
Image Classification (Q)
|
100% |
6010
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7722
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10034
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11108
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
10002
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31724
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.2 IPS |
|
|
Object Detection (HP)
|
100% |
4786
379.6 IPS |
|
|
Object Detection (Q)
|
88% |
7431
595.5 IPS |
|
|
Face Detection (SP)
|
100% |
7930
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
14826
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
21267
252.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11380
87.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
19659
151.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22629
175.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28154
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36748
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78639
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8718
321.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13102
485.2 IPS |
|
|
Text Classification (SP)
|
71% |
1621
2.35 KIPS |
|
|
Text Classification (HP)
|
71% |
2148
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2372
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1930
33.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2716
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2686
46.3 IPS |
