Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2231
Single Precision Score
8002
Half Precision Score
12056
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 02:05 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
5829
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7781
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3298
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
28350
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
62780
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
4871
386.4 IPS |
|
|
Object Detection (Q)
|
87% |
7682
616.5 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
13036
154.9 IPS |
|
|
Face Detection (Q)
|
100% |
20857
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4009
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16531
127.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30921
240.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9741
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
45279
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82200
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12170
449.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21649
801.7 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.7 IPS |
|
|
Text Classification (HP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1868
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2606
44.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2628
45.3 IPS |
