Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2305
Single Precision Score
8064
Half Precision Score
12119
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 03:11 PM |
| Views | 11 |
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% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
5821
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7943
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3127
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3375
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29390
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62493
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (Q)
|
87% |
7649
613.8 IPS |
|
|
Face Detection (SP)
|
100% |
3914
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
13008
154.6 IPS |
|
|
Face Detection (Q)
|
100% |
21145
251.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4048
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16584
127.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30556
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10143
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45300
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
81520
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12004
443.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21559
798.4 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.4 IPS |
|
|
Text Classification (HP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2711
46.7 IPS |
