Microsoft Corporation Surface Pro 4
Geekbench AI Score
739
Single Precision Score
417
Half Precision Score
917
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6650U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 4 |
| Motherboard | Microsoft Corporation Surface Pro 4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6650U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
96% |
622
116.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
573
9.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
1547
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
484
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
524
6.23 IPS |
|
|
Face Detection (Q)
|
96% |
1547
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1256
9.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
614
4.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
1612
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2565
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1825
2.35 IPS |
|
|
Style Transfer (Q)
|
87% |
3173
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
683
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.6 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.5 IPS |
|
|
Text Classification (Q)
|
97% |
465
623.1 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
68% |
631
12.2 IPS |
