[2015] Laptop: Microsoft Surface Pro 4 [Model 1724-B] Microsoft Corporation Surface Pro 4
Geekbench AI Score
1025
Single Precision Score
1025
Half Precision Score
1431
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | December 15 2025 06:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6300U CPU @ 2.40GHz |
| 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% |
585
108.7 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
100% |
924
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1168
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
2129
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
87% |
973
78.0 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
2443
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
2526
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3378
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3432
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6135
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
711
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1259
46.6 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
91% |
333
447.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1169
20.1 IPS |
