Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2258
Single Precision Score
7925
Half Precision Score
11927
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 03:21 PM |
| Views | 3 |
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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
5626
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7645
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3451
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
29363
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
63971
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (Q)
|
87% |
7524
603.8 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
12664
150.5 IPS |
|
|
Face Detection (Q)
|
100% |
19692
234.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4042
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16859
129.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
31007
241.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10088
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
45609
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
81871
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12066
445.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20951
775.9 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.6 IPS |
|
|
Text Classification (HP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1803
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2750
47.4 IPS |
