Microsoft Corporation Surface Book
Geekbench AI Score
662
Single Precision Score
389
Half Precision Score
725
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 14 2024 01:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Book |
| Motherboard | Microsoft Corporation Surface Book |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
96% |
584
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (Q)
|
87% |
1567
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
86% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (Q)
|
96% |
1044
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1131
8.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
77% |
1047
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2401
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
1796
2.31 IPS |
|
|
Style Transfer (Q)
|
87% |
3010
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
665
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
478
637.8 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.3 IPS |
|
|
Text Classification (Q)
|
97% |
201
268.6 IPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (Q)
|
60% |
524
11.7 IPS |
