Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2099
Single Precision Score
8006
Half Precision Score
11866
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 08 2024 12:47 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% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
5750
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7366
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3126
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
29434
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62701
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
4855
385.1 IPS |
|
|
Object Detection (Q)
|
87% |
7448
597.8 IPS |
|
|
Face Detection (SP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
12864
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
20756
246.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3919
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16638
128.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30575
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9428
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45661
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81505
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11796
435.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21009
778.1 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.2 IPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2716
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2727
47.0 IPS |
