Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5134
Single Precision Score
7690
Half Precision Score
11235
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 16 2025 07:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
3526
655.8 IPS |
|
|
Image Classification (HP)
|
100% |
5117
951.6 IPS |
|
|
Image Classification (Q)
|
100% |
6187
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3732
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7582
122.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9906
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11414
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10372
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
32793
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
3084
244.7 IPS |
|
|
Object Detection (HP)
|
100% |
4891
387.9 IPS |
|
|
Object Detection (Q)
|
88% |
7029
563.3 IPS |
|
|
Face Detection (SP)
|
100% |
7476
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
14079
167.3 IPS |
|
|
Face Detection (Q)
|
100% |
21407
254.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11020
84.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
19513
150.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22363
173.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28684
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37366
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78886
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4701
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8509
314.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12865
476.4 IPS |
|
|
Text Classification (SP)
|
71% |
1463
2.12 KIPS |
|
|
Text Classification (HP)
|
71% |
2114
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2309
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1990
34.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2022
34.8 IPS |
