Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5294
Single Precision Score
7969
Half Precision Score
11494
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:39 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% |
3490
649.0 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.6 IPS |
|
|
Image Classification (Q)
|
100% |
6065
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7665
124.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10145
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10907
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
9766
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30926
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
4941
391.9 IPS |
|
|
Object Detection (Q)
|
88% |
7392
592.4 IPS |
|
|
Face Detection (SP)
|
100% |
8259
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
15325
182.1 IPS |
|
|
Face Detection (Q)
|
100% |
22111
262.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11390
87.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
19816
153.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
22453
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28078
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36805
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
75427
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8494
313.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12940
479.2 IPS |
|
|
Text Classification (SP)
|
71% |
1562
2.26 KIPS |
|
|
Text Classification (HP)
|
71% |
2195
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2207
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2678
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2676
46.1 IPS |
