Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2244
Single Precision Score
8012
Half Precision Score
12085
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 03:13 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% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
5899
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7801
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3082
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29282
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62846
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
4930
391.0 IPS |
|
|
Object Detection (Q)
|
87% |
7705
618.4 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
12926
153.6 IPS |
|
|
Face Detection (Q)
|
100% |
20542
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3918
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16684
128.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30679
238.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10091
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45437
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81850
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12002
443.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21279
788.1 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.2 IPS |
|
|
Text Classification (HP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2781
47.9 IPS |
