Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5067
Single Precision Score
7746
Half Precision Score
11304
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 03:27 AM |
| Views | 3 |
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% |
3508
652.4 IPS |
|
|
Image Classification (HP)
|
100% |
5033
936.0 IPS |
|
|
Image Classification (Q)
|
100% |
6063
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7514
121.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9979
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10831
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
9665
11.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30951
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
4821
382.4 IPS |
|
|
Object Detection (Q)
|
88% |
7321
586.7 IPS |
|
|
Face Detection (SP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
14278
169.7 IPS |
|
|
Face Detection (Q)
|
100% |
20115
239.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10535
81.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
18565
143.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
21112
164.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26291
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35755
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
76210
98.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4588
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8362
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12626
467.6 IPS |
|
|
Text Classification (SP)
|
71% |
1408
2.04 KIPS |
|
|
Text Classification (HP)
|
71% |
2161
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2329
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2578
44.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2612
45.0 IPS |
