Microsoft Corporation Surface Pro
Geekbench AI Score
1336
Single Precision Score
1320
Half Precision Score
1804
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | April 11 2026 09:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7660U CPU @ 2.50GHz |
| 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% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
100% |
1159
215.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1214
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1451
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1458
1.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
2660
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
87% |
1197
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
3030
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1970
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1952
15.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3196
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4342
5.58 IPS |
|
|
Style Transfer (HP)
|
100% |
4355
5.60 IPS |
|
|
Style Transfer (Q)
|
98% |
7565
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1574
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
91% |
458
615.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1544
26.6 IPS |
