Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5112
Single Precision Score
7831
Half Precision Score
11415
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 25 2024 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3483
647.7 IPS |
|
|
Image Classification (HP)
|
100% |
5039
937.0 IPS |
|
|
Image Classification (Q)
|
100% |
6102
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3789
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7671
124.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9916
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10849
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
9793
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
30846
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (HP)
|
100% |
4911
389.5 IPS |
|
|
Object Detection (Q)
|
88% |
7243
580.5 IPS |
|
|
Face Detection (SP)
|
100% |
6983
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
14568
173.1 IPS |
|
|
Face Detection (Q)
|
100% |
21721
258.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10702
82.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
19406
150.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
21777
169.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27551
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36110
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75693
97.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8297
306.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12692
470.0 IPS |
|
|
Text Classification (SP)
|
71% |
1519
2.20 KIPS |
|
|
Text Classification (HP)
|
71% |
2103
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2260
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2621
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2706
46.6 IPS |
