Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2098
Single Precision Score
7531
Half Precision Score
11040
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 04 2024 08:16 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% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
5135
954.9 IPS |
|
|
Image Classification (Q)
|
100% |
6986
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3197
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
29342
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62223
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
4440
352.2 IPS |
|
|
Object Detection (Q)
|
87% |
6522
523.4 IPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
11852
140.8 IPS |
|
|
Face Detection (Q)
|
100% |
17116
203.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3609
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16570
127.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
29853
232.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8998
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45570
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82285
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11833
436.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20299
751.7 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.2 IPS |
|
|
Text Classification (HP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
1695
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2169
37.4 IPS |
