[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 05 2024 08:30 AM |
| Views | 2 |
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% |
359
67.1 IPS |
|
|
Image Classification (F16)
|
100% |
359
67.2 IPS |
|
|
Image Classification (I8)
|
100% |
323
60.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
506
8.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
8.39 IPS |
|
|
Image Segmentation (I8)
|
98% |
420
7.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
2192
2.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
2193
2.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
1984
2.40 IPS |
|
|
Object Detection (F32)
|
100% |
366
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
364
27.2 IPS |
|
|
Object Detection (I8)
|
54% |
323
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
714
8.49 IPS |
|
|
Face Detection (F16)
|
100% |
710
8.44 IPS |
|
|
Face Detection (I8)
|
89% |
569
6.77 IPS |
|
|
Depth Estimation (F32)
|
100% |
1574
12.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1565
12.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1355
10.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5617
7.39 IPS |
|
|
Style Transfer (F16)
|
100% |
5518
7.26 IPS |
|
|
Style Transfer (I8)
|
98% |
4726
6.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1108
39.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1116
39.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
858
30.7 IPS |
|
|
Text Classification (F32)
|
100% |
325
466.7 IPS |
|
|
Text Classification (F16)
|
100% |
322
462.8 IPS |
|
|
Text Classification (I8)
|
98% |
217
311.4 IPS |
|
|
Machine Translation (F32)
|
100% |
402
7.40 IPS |
|
|
Machine Translation (F16)
|
100% |
401
7.39 IPS |
|
|
Machine Translation (I8)
|
70% |
261
4.80 IPS |
