Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2156
Single Precision Score
8027
Half Precision Score
11990
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 07:34 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
5685
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7658
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
29392
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63552
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
100% |
4838
383.8 IPS |
|
|
Object Detection (Q)
|
87% |
7571
607.6 IPS |
|
|
Face Detection (SP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
12669
150.5 IPS |
|
|
Face Detection (Q)
|
100% |
20204
240.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3588
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16874
130.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30817
239.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9065
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45272
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81090
104.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12130
447.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21193
784.9 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.3 IPS |
|
|
Text Classification (HP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1846
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2734
47.1 IPS |
