Microsoft Corporation Surface Book
Geekbench AI Score
1115
Single Precision Score
1114
Half Precision Score
820
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 14 2024 01:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GPU |
| 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% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
100% |
350
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3417
3.99 IPS |
|
|
Pose Estimation (Q)
|
97% |
3196
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
89% |
414
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
695
8.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
2082
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2062
15.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
1629
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6032
7.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5941
7.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5309
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1236
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.6 IPS |
|
|
Text Classification (HP)
|
100% |
465
620.7 IPS |
|
|
Text Classification (Q)
|
97% |
285
381.2 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
96% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
59% |
287
6.66 IPS |
