Microsoft Corporation Surface Pro
Geekbench AI Score
1025
Single Precision Score
1633
Half Precision Score
1534
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | April 11 2026 10:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics 640 (iGPU) |
| 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% |
869
161.6 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.3 IPS |
|
|
Image Classification (Q)
|
100% |
800
148.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1726
2.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
2307
2.70 IPS |
|
|
Pose Estimation (Q)
|
97% |
3176
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
681
54.2 IPS |
|
|
Object Detection (Q)
|
88% |
714
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
2256
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2634
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4768
36.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
3836
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4233
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
9605
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8767
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2018
74.7 IPS |
|
|
Text Classification (SP)
|
71% |
323
467.1 IPS |
|
|
Text Classification (HP)
|
71% |
557
806.3 IPS |
|
|
Text Classification (Q)
|
92% |
359
482.4 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
99% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
801
13.8 IPS |
