Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2257
Single Precision Score
8065
Half Precision Score
12190
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 03:49 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% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
5776
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7951
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3140
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
29376
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63502
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
4772
378.5 IPS |
|
|
Object Detection (Q)
|
87% |
7724
619.9 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
12958
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
20348
241.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4065
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17134
132.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31442
244.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8567
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45292
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82240
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12060
445.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21461
794.8 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.3 IPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1874
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2102
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2798
48.2 IPS |
