Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1129
Single Precision Score
7129
Half Precision Score
9654
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 03:39 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% |
1013
188.4 IPS |
|
|
Image Classification (HP)
|
100% |
5187
964.6 IPS |
|
|
Image Classification (Q)
|
100% |
6110
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2777
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
28771
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
62345
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
4445
352.6 IPS |
|
|
Object Detection (Q)
|
87% |
5977
479.7 IPS |
|
|
Face Detection (SP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
11023
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
15677
186.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16149
124.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
20773
161.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4083
5.25 IPS |
|
|
Style Transfer (HP)
|
100% |
46449
59.7 IPS |
|
|
Style Transfer (Q)
|
98% |
74924
96.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10682
394.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18217
674.6 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (HP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1272
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1969
33.9 IPS |
