Microsoft Corporation Surface Pro 8
Geekbench AI Score
2594
Single Precision Score
2637
Half Precision Score
7071
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | April 23 2025 04:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (Q)
|
100% |
4557
847.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4749
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
11947
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (Q)
|
88% |
4629
371.1 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
11096
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3923
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4045
31.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11971
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8113
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8246
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30409
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6170
228.5 IPS |
|
|
Text Classification (SP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
3606
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2909
50.1 IPS |
