Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5166
Single Precision Score
7891
Half Precision Score
11438
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 09:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3552
660.6 IPS |
|
|
Image Classification (HP)
|
100% |
5126
953.3 IPS |
|
|
Image Classification (Q)
|
100% |
6186
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3790
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7500
121.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9729
157.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11167
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
10004
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31754
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3055
242.4 IPS |
|
|
Object Detection (HP)
|
100% |
4955
393.0 IPS |
|
|
Object Detection (Q)
|
88% |
7192
576.3 IPS |
|
|
Face Detection (SP)
|
100% |
8056
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
14649
174.1 IPS |
|
|
Face Detection (Q)
|
100% |
22410
266.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10985
84.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
18921
146.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
22017
171.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27699
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37177
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
77908
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8307
306.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12944
479.4 IPS |
|
|
Text Classification (SP)
|
71% |
1415
2.05 KIPS |
|
|
Text Classification (HP)
|
71% |
2161
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2656
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2619
45.1 IPS |
