Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4812
Single Precision Score
7150
Half Precision Score
11220
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 05 2024 02:57 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% |
3472
645.6 IPS |
|
|
Image Classification (HP)
|
100% |
4973
924.8 IPS |
|
|
Image Classification (Q)
|
100% |
6457
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3363
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7224
117.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9816
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10229
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9558
11.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
28878
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3087
244.9 IPS |
|
|
Object Detection (HP)
|
100% |
4185
331.9 IPS |
|
|
Object Detection (Q)
|
88% |
7389
592.2 IPS |
|
|
Face Detection (SP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
12589
149.6 IPS |
|
|
Face Detection (Q)
|
100% |
20201
240.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9418
72.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
18141
140.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21935
170.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24780
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35890
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
74846
96.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4724
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6642
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13266
491.3 IPS |
|
|
Text Classification (SP)
|
71% |
1453
2.10 KIPS |
|
|
Text Classification (HP)
|
71% |
1914
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2306
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2335
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2306
39.7 IPS |
