Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4997
Single Precision Score
7791
Half Precision Score
11297
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 08 2024 12:50 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% |
3488
648.7 IPS |
|
|
Image Classification (HP)
|
100% |
5019
933.3 IPS |
|
|
Image Classification (Q)
|
100% |
6010
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7660
124.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9115
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11012
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
9948
11.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
27098
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
100% |
4895
388.3 IPS |
|
|
Object Detection (Q)
|
88% |
7338
588.1 IPS |
|
|
Face Detection (SP)
|
100% |
7984
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
15006
178.3 IPS |
|
|
Face Detection (Q)
|
100% |
22188
263.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11432
88.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
19910
153.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22559
175.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23629
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35727
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78505
101.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8337
307.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12867
476.5 IPS |
|
|
Text Classification (SP)
|
71% |
1556
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
1877
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2306
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2638
45.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2668
46.0 IPS |
