Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2127
Single Precision Score
7911
Half Precision Score
12048
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | January 16 2025 06:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
5609
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7747
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
29425
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63677
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
100% |
4893
388.1 IPS |
|
|
Object Detection (Q)
|
87% |
7676
616.1 IPS |
|
|
Face Detection (SP)
|
100% |
3766
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
12962
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
20761
246.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3822
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15934
122.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30760
239.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9435
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45111
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81014
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11964
441.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21163
783.7 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.3 IPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1809
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2781
47.9 IPS |
