Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2136
Single Precision Score
7587
Half Precision Score
11245
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 08:29 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% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
5380
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
6782
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3433
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
29494
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
62635
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
4528
359.2 IPS |
|
|
Object Detection (Q)
|
87% |
6950
557.8 IPS |
|
|
Face Detection (SP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
11498
136.6 IPS |
|
|
Face Detection (Q)
|
100% |
18789
223.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3984
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16715
128.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30038
233.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9772
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45590
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
80312
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11765
434.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20293
751.5 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.6 IPS |
|
|
Text Classification (HP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1754
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1836
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2235
38.5 IPS |
