Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2051
Single Precision Score
7703
Half Precision Score
11351
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 26 2024 12:48 AM |
| 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% |
1156
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
5397
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7091
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3243
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
29563
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63178
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
4619
366.3 IPS |
|
|
Object Detection (Q)
|
87% |
7068
567.3 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
11714
139.2 IPS |
|
|
Face Detection (Q)
|
100% |
18414
218.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3734
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16753
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30611
238.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9410
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46100
59.3 IPS |
|
|
Style Transfer (Q)
|
98% |
82167
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11878
438.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20786
769.8 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.6 IPS |
|
|
Text Classification (HP)
|
100% |
1810
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2178
37.5 IPS |
