[2017] Laptop: Microsoft Surface Book 2 [Model 1832] Microsoft Corporation Surface Book 2
Geekbench ML Score
759
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | inc7007 |
| Upload Date | January 06 2024 05:48 PM |
| Views | 1 |
System Information
| 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 i5-7300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 620 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
369
69.1 IPS |
|
|
Image Classification (F16)
|
100% |
362
67.8 IPS |
|
|
Image Classification (I8)
|
100% |
327
61.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
457
7.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
465
7.77 IPS |
|
|
Image Segmentation (I8)
|
98% |
422
7.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
2183
2.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
2182
2.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
1977
2.39 IPS |
|
|
Object Detection (F32)
|
100% |
373
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
361
26.9 IPS |
|
|
Object Detection (I8)
|
54% |
327
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
708
8.42 IPS |
|
|
Face Detection (F16)
|
100% |
715
8.51 IPS |
|
|
Face Detection (I8)
|
89% |
573
6.82 IPS |
|
|
Depth Estimation (F32)
|
100% |
1571
12.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1550
12.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1388
10.8 IPS |
|
|
Style Transfer (F32)
|
100% |
5513
7.25 IPS |
|
|
Style Transfer (F16)
|
100% |
5546
7.29 IPS |
|
|
Style Transfer (I8)
|
98% |
4649
6.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1103
39.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1128
40.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
857
30.6 IPS |
|
|
Text Classification (F32)
|
100% |
324
465.7 IPS |
|
|
Text Classification (F16)
|
100% |
375
538.3 IPS |
|
|
Text Classification (I8)
|
98% |
219
314.5 IPS |
|
|
Machine Translation (F32)
|
100% |
390
7.18 IPS |
|
|
Machine Translation (F16)
|
100% |
398
7.32 IPS |
|
|
Machine Translation (I8)
|
70% |
260
4.79 IPS |
