Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2006
Single Precision Score
7523
Half Precision Score
11235
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 11:10 PM |
| Views | 3 |
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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
5142
956.2 IPS |
|
|
Image Classification (Q)
|
100% |
6981
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2974
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3304
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
29336
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62577
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.7 IPS |
|
|
Object Detection (HP)
|
100% |
4493
356.4 IPS |
|
|
Object Detection (Q)
|
87% |
6618
531.1 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
11022
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
18885
224.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3596
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16499
127.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30720
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9831
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45583
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
80609
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11992
442.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20761
768.9 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.3 IPS |
|
|
Text Classification (HP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1778
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2160
37.2 IPS |
