Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2262
Single Precision Score
8378
Half Precision Score
12634
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 25 2025 10:58 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Bitsum Highest Performance |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
6072
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8379
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3198
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29788
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
64838
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (HP)
|
100% |
5060
401.4 IPS |
|
|
Object Detection (Q)
|
87% |
7931
636.5 IPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
13288
157.9 IPS |
|
|
Face Detection (Q)
|
100% |
21304
253.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3952
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17206
132.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
31812
247.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9857
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46186
59.4 IPS |
|
|
Style Transfer (Q)
|
98% |
83882
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12531
462.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22397
829.4 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.8 IPS |
|
|
Text Classification (HP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2047
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2887
49.7 IPS |
