[2015] Laptop: Microsoft Surface Pro 4 [Model 1724-B] Microsoft Corporation Surface Pro 4
Geekbench AI Score
880
Single Precision Score
489
Half Precision Score
1218
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | December 15 2025 06:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6300U |
| 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 i5-6300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
96% |
848
158.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
945
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
929
1.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
1959
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
58% |
614
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (Q)
|
96% |
1847
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1522
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
680
5.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
2028
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2905
3.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2161
2.78 IPS |
|
|
Style Transfer (Q)
|
87% |
3810
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1026
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
603
804.6 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.2 IPS |
|
|
Text Classification (Q)
|
97% |
573
767.0 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
68% |
893
17.2 IPS |
