Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
1573
Single Precision Score
6231
Half Precision Score
9361
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 12:22 PM |
| Views | 4 |
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% |
722
134.4 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.4 IPS |
|
|
Image Classification (Q)
|
100% |
5231
972.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2717
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
28221
32.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62400
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
3843
304.8 IPS |
|
|
Object Detection (Q)
|
87% |
5665
454.6 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
9999
118.8 IPS |
|
|
Face Detection (Q)
|
100% |
15741
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16009
123.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
27390
213.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7780
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40643
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
68852
88.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9320
344.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17499
648.0 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.3 IPS |
|
|
Text Classification (HP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
909
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2179
37.5 IPS |
