Microsoft Corporation Surface Book 2
Geekbench AI Score
831
Single Precision Score
970
Half Precision Score
668
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 17 2024 08:33 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.5 IPS |
|
|
Image Classification (Q)
|
100% |
346
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
375
6.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1938
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
1622
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
98% |
464
36.9 IPS |
|
|
Object Detection (Q)
|
89% |
397
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
604
7.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
1357
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2008
15.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
1409
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5991
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
8964
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
5049
6.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
874
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.8 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.6 IPS |
|
|
Text Classification (Q)
|
97% |
267
358.2 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
60% |
212
4.72 IPS |
