Dell Inc. XPS 8960
Geekbench ML Score
1441
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:48 PM |
| Views | 2 |
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% |
678
126.8 IPS |
|
|
Image Classification (F16)
|
100% |
677
126.6 IPS |
|
|
Image Classification (I8)
|
100% |
555
103.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1009
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1006
16.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
767
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5198
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5173
6.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
3435
4.16 IPS |
|
|
Object Detection (F32)
|
100% |
790
59.0 IPS |
|
|
Object Detection (F16)
|
100% |
802
59.9 IPS |
|
|
Object Detection (I8)
|
54% |
659
49.2 IPS |
|
|
Face Detection (F32)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (I8)
|
89% |
1047
12.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2986
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2971
23.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2285
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10619
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10664
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
8064
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1776
63.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1817
64.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
981
35.0 IPS |
|
|
Text Classification (F32)
|
100% |
827
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
805
1.16 KIPS |
|
|
Text Classification (I8)
|
98% |
376
540.2 IPS |
|
|
Machine Translation (F32)
|
100% |
709
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
751
13.8 IPS |
|
|
Machine Translation (I8)
|
70% |
422
7.77 IPS |
