Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5334
Single Precision Score
7828
Half Precision Score
11703
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 08:59 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% |
3578
665.5 IPS |
|
|
Image Classification (HP)
|
100% |
5084
945.5 IPS |
|
|
Image Classification (Q)
|
100% |
6181
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7747
125.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9912
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11169
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
9985
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31853
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3229
256.2 IPS |
|
|
Object Detection (HP)
|
100% |
4572
362.7 IPS |
|
|
Object Detection (Q)
|
88% |
7510
601.9 IPS |
|
|
Face Detection (SP)
|
100% |
7919
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
15412
183.1 IPS |
|
|
Face Detection (Q)
|
100% |
22011
261.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11388
87.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
20240
156.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22971
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28509
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34103
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78693
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7724
285.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13026
482.4 IPS |
|
|
Text Classification (SP)
|
71% |
1612
2.33 KIPS |
|
|
Text Classification (HP)
|
71% |
2194
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
32.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2668
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2678
46.1 IPS |
