Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2001
Single Precision Score
7734
Half Precision Score
11663
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 12:10 AM |
| 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% |
1184
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
5298
985.3 IPS |
|
|
Image Classification (Q)
|
100% |
7549
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3327
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
29535
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63087
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
1149
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
4597
364.6 IPS |
|
|
Object Detection (Q)
|
87% |
7125
571.9 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
11889
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
19683
233.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3670
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16671
128.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30593
238.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9338
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45622
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81786
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11881
438.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20420
756.2 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.5 IPS |
|
|
Text Classification (HP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1742
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2528
43.6 IPS |
