Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2256
Single Precision Score
8114
Half Precision Score
12171
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:24 AM |
| Views | 4 |
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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
5755
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7926
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29557
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63534
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
4896
388.3 IPS |
|
|
Object Detection (Q)
|
87% |
7714
619.1 IPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
13006
154.5 IPS |
|
|
Face Detection (Q)
|
100% |
20849
247.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4062
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16895
130.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30718
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9986
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45720
58.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81648
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12099
446.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21577
799.1 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.8 IPS |
|
|
Text Classification (HP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1874
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2788
48.0 IPS |
