Microsoft Corporation Surface Pro 8
Geekbench AI Score
1608
Single Precision Score
821
Half Precision Score
3582
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | isaacandy |
| Upload Date | April 28 2025 08:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1892
351.8 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
99% |
3204
597.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1887
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2094
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
8201
9.62 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
2877
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
97% |
4854
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1164
8.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
6594
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5425
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4507
5.79 IPS |
|
|
Style Transfer (Q)
|
98% |
14055
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2352
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
558
744.6 IPS |
|
|
Text Classification (Q)
|
97% |
1286
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1794
36.1 IPS |
