Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2234
Single Precision Score
7955
Half Precision Score
11987
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 07:55 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
5579
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7736
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29376
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63482
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (HP)
|
100% |
4862
385.7 IPS |
|
|
Object Detection (Q)
|
87% |
7483
600.5 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
12691
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
20672
245.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4058
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16494
127.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30647
238.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9364
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45671
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81750
105.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12073
445.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21398
792.4 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.5 IPS |
|
|
Text Classification (HP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1861
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2648
45.6 IPS |
