Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
5303
Single Precision Score
7949
Half Precision Score
11442
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 30 2024 09:04 AM |
| Views | 4 |
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% |
3503
651.5 IPS |
|
|
Image Classification (HP)
|
100% |
5019
933.4 IPS |
|
|
Image Classification (Q)
|
100% |
6053
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3811
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7643
123.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9704
157.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11172
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
9975
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31870
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3309
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
4990
395.8 IPS |
|
|
Object Detection (Q)
|
88% |
7318
586.5 IPS |
|
|
Face Detection (SP)
|
100% |
8187
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
15304
181.8 IPS |
|
|
Face Detection (Q)
|
100% |
21522
255.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11348
87.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
19964
154.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
22823
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28624
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37676
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78091
100.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4803
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8494
313.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12639
468.1 IPS |
|
|
Text Classification (SP)
|
71% |
1487
2.15 KIPS |
|
|
Text Classification (HP)
|
71% |
2053
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2629
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2620
45.1 IPS |
