Dell Inc. XPS 8960
Geekbench ML Score
1414
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:53 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8960 |
| Motherboard | Dell Inc. 09M47G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
670
125.5 IPS |
|
|
Image Classification (F16)
|
100% |
668
125.0 IPS |
|
|
Image Classification (I8)
|
100% |
540
101.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
985
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
757
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5176
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
5171
6.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
3440
4.17 IPS |
|
|
Object Detection (F32)
|
100% |
708
52.9 IPS |
|
|
Object Detection (F16)
|
100% |
751
56.0 IPS |
|
|
Object Detection (I8)
|
54% |
631
47.1 IPS |
|
|
Face Detection (F32)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (I8)
|
89% |
1059
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2992
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2984
23.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2289
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10602
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10639
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
8031
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1782
63.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1792
64.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
968
34.6 IPS |
|
|
Text Classification (F32)
|
100% |
779
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
797
1.15 KIPS |
|
|
Text Classification (I8)
|
98% |
389
558.9 IPS |
|
|
Machine Translation (F32)
|
100% |
692
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
697
12.8 IPS |
|
|
Machine Translation (I8)
|
70% |
415
7.64 IPS |
