Microsoft Corporation Surface Book 2
Geekbench AI Score
2313
Single Precision Score
2229
Half Precision Score
1687
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 17 2024 08:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Book 2 |
| Motherboard | Microsoft Corporation Surface Book 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.3 IPS |
|
|
Image Classification (Q)
|
100% |
425
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1138
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14593
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7892
9.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
11670
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (Q)
|
89% |
611
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4781
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4394
33.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
3586
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23461
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14299
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18214
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2961
109.6 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.3 IPS |
|
|
Text Classification (HP)
|
100% |
691
922.1 IPS |
|
|
Text Classification (Q)
|
97% |
515
690.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
60% |
479
10.7 IPS |
