Dell Inc. XPS 8960
Geekbench ML Score
4844
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:14 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2852
533.7 IPS |
|
|
Image Classification (F16)
|
100% |
2640
494.1 IPS |
|
|
Image Classification (I8)
|
99% |
4549
851.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2192
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2160
36.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3346
55.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9481
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9842
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
34257
41.5 IPS |
|
|
Object Detection (F32)
|
100% |
2729
203.7 IPS |
|
|
Object Detection (F16)
|
100% |
2289
170.9 IPS |
|
|
Object Detection (I8)
|
62% |
2281
170.3 IPS |
|
|
Face Detection (F32)
|
100% |
4832
57.5 IPS |
|
|
Face Detection (F16)
|
100% |
5101
60.7 IPS |
|
|
Face Detection (I8)
|
89% |
5301
63.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10444
81.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9868
76.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
17347
134.5 IPS |
|
|
Style Transfer (F32)
|
100% |
24492
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23069
30.3 IPS |
|
|
Style Transfer (I8)
|
98% |
26908
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4580
163.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4284
153.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6091
217.5 IPS |
|
|
Text Classification (F32)
|
100% |
1756
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1735
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
582
835.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2540
46.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2378
43.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3214
59.2 IPS |
