Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2214
Single Precision Score
8009
Half Precision Score
11961
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 08:31 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% |
1289
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
5670
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7680
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3102
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
29484
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63216
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
4755
377.2 IPS |
|
|
Object Detection (Q)
|
87% |
7396
593.6 IPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
12857
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
20556
244.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4009
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16823
129.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30769
239.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9183
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45403
58.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81379
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12030
444.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21226
786.1 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.8 IPS |
|
|
Text Classification (HP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1813
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2717
46.8 IPS |
