Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2296
Single Precision Score
8036
Half Precision Score
12159
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 03 2024 05:19 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% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
5767
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7945
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3110
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
29550
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63913
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.4 IPS |
|
|
Object Detection (HP)
|
100% |
4884
387.4 IPS |
|
|
Object Detection (Q)
|
87% |
7809
626.7 IPS |
|
|
Face Detection (SP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
13086
155.5 IPS |
|
|
Face Detection (Q)
|
100% |
21046
250.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4074
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16577
127.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30843
240.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10230
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45629
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82678
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12013
443.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21575
799.0 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.9 IPS |
|
|
Text Classification (HP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2721
46.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2733
47.1 IPS |
