Microsoft Corporation Surface Pro
Geekbench AI Score
1152
Single Precision Score
631
Half Precision Score
1523
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | April 11 2026 08:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7660U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro |
| Motherboard | Microsoft Corporation Surface Pro |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7660U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
96% |
1050
196.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1149
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1214
1.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
2419
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
58% |
757
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1917
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
96% |
2345
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1876
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
836
6.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
2583
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3763
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2732
3.51 IPS |
|
|
Style Transfer (Q)
|
87% |
4809
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1241
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.9 IPS |
|
|
Text Classification (Q)
|
97% |
739
990.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
68% |
1138
22.0 IPS |
