[2015] Laptop: Microsoft Surface Pro 4 [Model 1724-B] Microsoft Corporation Surface Pro 4
Geekbench AI Score
422
Single Precision Score
273
Half Precision Score
360
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | December 15 2025 06:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| 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% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (Q)
|
100% |
216
40.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
324
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
276
4.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
727
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
86% |
228
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (Q)
|
97% |
478
5.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
783
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
475
3.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
692
5.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1540
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1083
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1437
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
249
9.19 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
359
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.0 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.3 IPS |
|
|
Text Classification (Q)
|
97% |
131
175.6 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
96% |
212
3.66 IPS |
|
|
Machine Translation (Q)
|
70% |
167
3.13 IPS |
