Microsoft Corporation Surface Pro 8
Geekbench AI Score
2355
Single Precision Score
1081
Half Precision Score
3775
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Seb_T |
| Upload Date | June 29 2025 12:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1145G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
99% |
3847
717.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1664
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3439
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
11358
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
3226
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
3832
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6226
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4586
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9371
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8237
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6176
7.94 IPS |
|
|
Style Transfer (Q)
|
98% |
15225
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2849
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (Q)
|
97% |
501
670.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
65% |
1979
39.8 IPS |
