Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2060
Single Precision Score
7997
Half Precision Score
11983
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 02:53 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% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
5592
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3117
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
29554
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63165
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
4845
384.3 IPS |
|
|
Object Detection (Q)
|
87% |
7561
606.8 IPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
12965
154.1 IPS |
|
|
Face Detection (Q)
|
100% |
20940
248.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3786
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16683
128.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30930
240.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9092
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45576
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81599
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12176
449.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21291
788.5 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.6 IPS |
|
|
Text Classification (HP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2747
47.3 IPS |
