Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2178
Single Precision Score
8087
Half Precision Score
12088
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 29 2024 08:20 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% |
1119
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
5600
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7606
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3162
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
29483
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64083
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
100% |
4876
386.7 IPS |
|
|
Object Detection (Q)
|
87% |
7662
614.9 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
13401
159.2 IPS |
|
|
Face Detection (Q)
|
100% |
20717
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3931
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16784
129.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30849
240.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10011
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46117
59.3 IPS |
|
|
Style Transfer (Q)
|
98% |
82704
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12048
444.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21159
783.6 IPS |
|
|
Text Classification (SP)
|
100% |
595
793.6 IPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1804
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2796
48.2 IPS |
