Microsoft Corporation Surface Book 2
Geekbench AI Score
1659
Single Precision Score
1683
Half Precision Score
2635
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 17 2024 08:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz |
| 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% |
1084
201.7 IPS |
|
|
Image Classification (HP)
|
100% |
1106
205.6 IPS |
|
|
Image Classification (Q)
|
100% |
1658
308.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1768
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
4114
4.83 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (Q)
|
87% |
1702
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
2324
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
4336
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2749
21.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2820
21.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
4536
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4784
6.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4985
6.41 IPS |
|
|
Style Transfer (Q)
|
98% |
10941
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2424
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (Q)
|
91% |
980
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1706
29.4 IPS |
|
|
Machine Translation (Q)
|
90% |
1541
26.8 IPS |
