Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2068
Single Precision Score
8042
Half Precision Score
12090
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:28 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
5645
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7885
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3150
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29411
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63768
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
4878
386.9 IPS |
|
|
Object Detection (Q)
|
87% |
7618
611.4 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
13194
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
20650
245.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3737
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16756
129.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30994
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8141
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
45407
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82155
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12170
449.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21229
786.2 IPS |
|
|
Text Classification (SP)
|
100% |
565
754.3 IPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1810
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2676
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2738
47.2 IPS |
