Microsoft Corporation Surface Book 2
Geekbench AI Score
4370
Single Precision Score
4315
Half Precision Score
3428
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | December 08 2024 08:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Microsoft Corporation Surface Book 2 |
| Motherboard | Microsoft Corporation Surface Book 2 |
| Power Plan | Ausbalanciert |
| 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% |
1169
217.4 IPS |
|
|
Image Classification (HP)
|
100% |
1829
340.2 IPS |
|
|
Image Classification (Q)
|
99% |
1046
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2662
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2232
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
26646
31.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15746
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20259
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (Q)
|
83% |
1302
105.2 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (Q)
|
97% |
2752
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10056
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9207
71.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8263
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45663
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28245
36.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37948
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9047
334.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6550
241.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6289
232.9 IPS |
|
|
Text Classification (SP)
|
100% |
1095
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1333
23.1 IPS |
|
|
Machine Translation (Q)
|
70% |
859
16.1 IPS |
