Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2157
Single Precision Score
7807
Half Precision Score
11826
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | February 16 2025 07:18 AM |
| Views | 5 |
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 | 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% |
1274
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
5634
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7842
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3263
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
29282
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63673
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
100% |
4896
388.3 IPS |
|
|
Object Detection (Q)
|
87% |
7609
610.7 IPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
12920
153.5 IPS |
|
|
Face Detection (Q)
|
100% |
20682
245.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3832
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16588
127.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30230
235.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9683
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45105
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81779
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11662
430.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20755
768.6 IPS |
|
|
Text Classification (SP)
|
100% |
613
817.9 IPS |
|
|
Text Classification (HP)
|
100% |
1757
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1765
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2455
42.3 IPS |
