Microsoft Corporation Surface Book 2
Geekbench AI Score
1136
Single Precision Score
562
Half Precision Score
1700
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 12:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8650U |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
96% |
1264
236.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1440
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1644
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
3000
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
58% |
939
102.6 IPS |
|
|
Face Detection (SP)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.10 IPS |
|
|
Face Detection (Q)
|
96% |
2552
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2004
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
773
5.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
3020
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4117
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2960
3.80 IPS |
|
|
Style Transfer (Q)
|
87% |
5215
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1364
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
400
534.0 IPS |
|
|
Text Classification (Q)
|
97% |
673
901.4 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1069
20.7 IPS |
