Microsoft Corporation Surface Pro 8
Geekbench AI Score
1841
Single Precision Score
929
Half Precision Score
4064
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Billfumo |
| Upload Date | October 01 2025 07:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
3465
646.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
4068
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3022
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
10972
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
3534
284.0 IPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6013
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3605
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1461
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6987
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5036
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4156
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
11207
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2831
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.8 IPS |
|
|
Text Classification (Q)
|
97% |
1046
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
65% |
1613
32.4 IPS |
