Dell Inc. XPS 8960
Geekbench ML Score
1419
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:51 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
126.9 IPS |
|
|
Image Classification (F16)
|
100% |
677
126.7 IPS |
|
|
Image Classification (I8)
|
100% |
547
102.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
979
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
758
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5179
6.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
5177
6.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
3434
4.16 IPS |
|
|
Object Detection (F32)
|
100% |
732
54.7 IPS |
|
|
Object Detection (F16)
|
100% |
764
57.0 IPS |
|
|
Object Detection (I8)
|
54% |
611
45.6 IPS |
|
|
Face Detection (F32)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
1460
17.4 IPS |
|
|
Face Detection (I8)
|
89% |
1040
12.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2986
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2976
23.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2286
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10636
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10630
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
8048
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1781
63.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1789
63.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
972
34.7 IPS |
|
|
Text Classification (F32)
|
100% |
783
1.13 KIPS |
|
|
Text Classification (F16)
|
100% |
828
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
389
559.5 IPS |
|
|
Machine Translation (F32)
|
100% |
699
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
693
12.8 IPS |
|
|
Machine Translation (I8)
|
70% |
412
7.58 IPS |
