Dell Inc. XPS 15 9560
Geekbench ML Score
906
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 06:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. XPS 15 9560 |
| Motherboard | Dell Inc. 05FFDN |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
334
62.5 IPS |
|
|
Image Classification (F16)
|
100% |
334
62.6 IPS |
|
|
Image Classification (I8)
|
100% |
277
51.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
464
7.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
463
7.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
376
6.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
4066
4.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
4058
4.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
3481
4.21 IPS |
|
|
Object Detection (F32)
|
100% |
406
30.3 IPS |
|
|
Object Detection (F16)
|
100% |
405
30.2 IPS |
|
|
Object Detection (I8)
|
60% |
343
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
738
8.78 IPS |
|
|
Face Detection (F16)
|
100% |
738
8.78 IPS |
|
|
Face Detection (I8)
|
89% |
561
6.67 IPS |
|
|
Depth Estimation (F32)
|
100% |
1815
14.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1816
14.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1472
11.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5675
7.46 IPS |
|
|
Style Transfer (F16)
|
100% |
5671
7.46 IPS |
|
|
Style Transfer (I8)
|
98% |
5004
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1900
67.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1905
68.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1260
45.0 IPS |
|
|
Text Classification (F32)
|
100% |
355
510.8 IPS |
|
|
Text Classification (F16)
|
100% |
349
501.6 IPS |
|
|
Text Classification (I8)
|
98% |
218
312.8 IPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (I8)
|
70% |
357
6.57 IPS |
