Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4776
Single Precision Score
7392
Half Precision Score
11001
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 11:25 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% |
3390
630.4 IPS |
|
|
Image Classification (HP)
|
100% |
4761
885.4 IPS |
|
|
Image Classification (Q)
|
100% |
5980
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6906
112.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9431
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10210
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
9718
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30875
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2930
232.4 IPS |
|
|
Object Detection (HP)
|
100% |
4662
369.8 IPS |
|
|
Object Detection (Q)
|
88% |
7065
566.2 IPS |
|
|
Face Detection (SP)
|
100% |
6392
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
13033
154.9 IPS |
|
|
Face Detection (Q)
|
100% |
19883
236.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9302
71.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
18871
145.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
21625
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26482
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35094
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
74700
96.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8299
306.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12671
469.3 IPS |
|
|
Text Classification (SP)
|
71% |
1511
2.19 KIPS |
|
|
Text Classification (HP)
|
71% |
2054
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2246
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2224
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2310
39.8 IPS |
