Microsoft Corporation Surface Pro
Geekbench AI Score
1459
Single Precision Score
1606
Half Precision Score
1167
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | April 11 2026 09:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Plus Graphics 640 |
| 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% |
623
115.8 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (Q)
|
100% |
605
112.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
6047
7.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
3570
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (HP)
|
98% |
768
61.1 IPS |
|
|
Object Detection (Q)
|
86% |
676
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2690
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3355
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2282
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10149
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14901
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8602
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1392
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.4 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.4 IPS |
|
|
Text Classification (Q)
|
97% |
321
429.4 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
70% |
360
6.75 IPS |
