Microsoft Corporation Surface Book
Geekbench AI Score
992
Single Precision Score
977
Half Precision Score
1457
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 14 2024 02:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6600U CPU @ 2.60GHz |
| 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% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
100% |
878
163.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
930
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
1993
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.2 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (Q)
|
87% |
898
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
2283
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2400
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3481
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3360
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
5866
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1211
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
709
945.8 IPS |
|
|
Text Classification (HP)
|
100% |
720
961.2 IPS |
|
|
Text Classification (Q)
|
91% |
704
945.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1083
18.7 IPS |
