Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2349
Single Precision Score
8116
Half Precision Score
12202
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 05:19 PM |
| Views | 2 |
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% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
5801
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7954
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3068
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29467
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63384
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
100% |
4875
386.7 IPS |
|
|
Object Detection (Q)
|
87% |
7687
616.9 IPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
13444
159.7 IPS |
|
|
Face Detection (Q)
|
100% |
21489
255.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4113
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16641
128.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30717
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10285
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45506
58.5 IPS |
|
|
Style Transfer (Q)
|
98% |
82192
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12211
450.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21655
801.9 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.1 IPS |
|
|
Text Classification (HP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2812
48.4 IPS |
