Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2051
Single Precision Score
7635
Half Precision Score
11218
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 11:21 PM |
| Views | 3 |
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% |
1115
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
5230
972.5 IPS |
|
|
Image Classification (Q)
|
100% |
7018
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3119
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
28994
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
61470
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (HP)
|
100% |
4462
353.9 IPS |
|
|
Object Detection (Q)
|
87% |
6627
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12707
151.0 IPS |
|
|
Face Detection (Q)
|
100% |
16846
200.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4071
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16534
127.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
30895
240.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9833
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45612
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81530
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1871
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12021
443.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20777
769.4 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.9 IPS |
|
|
Text Classification (HP)
|
100% |
1802
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1830
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2195
37.8 IPS |
