Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2132
Single Precision Score
7099
Half Precision Score
10403
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 10:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1105
205.4 IPS |
|
|
Image Classification (HP)
|
100% |
4830
898.2 IPS |
|
|
Image Classification (Q)
|
100% |
6184
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3222
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
29355
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
60589
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (HP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (Q)
|
87% |
7507
602.5 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
11450
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
19500
231.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4066
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16387
126.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
27468
213.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9567
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44703
57.5 IPS |
|
|
Style Transfer (Q)
|
98% |
80257
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10351
382.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19049
705.5 IPS |
|
|
Text Classification (SP)
|
100% |
629
840.0 IPS |
|
|
Text Classification (HP)
|
100% |
1419
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1092
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1941
33.4 IPS |
