Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2307
Single Precision Score
8050
Half Precision Score
12143
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 05:01 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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
5722
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7819
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3144
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
29271
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62803
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
4845
384.3 IPS |
|
|
Object Detection (Q)
|
87% |
7708
618.6 IPS |
|
|
Face Detection (SP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
13055
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
21231
252.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4076
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16632
128.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30477
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10160
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44606
57.3 IPS |
|
|
Style Transfer (Q)
|
98% |
81556
105.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12108
447.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21332
790.0 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.7 IPS |
|
|
Text Classification (HP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2766
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2807
48.4 IPS |
