Dell Inc. XPS 8960
Geekbench ML Score
4830
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:17 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% |
2549
477.0 IPS |
|
|
Image Classification (F16)
|
100% |
2532
473.8 IPS |
|
|
Image Classification (I8)
|
99% |
4527
847.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2194
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2149
35.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3298
55.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9938
12.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
10116
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
33390
40.4 IPS |
|
|
Object Detection (F32)
|
100% |
2613
195.1 IPS |
|
|
Object Detection (F16)
|
100% |
2402
179.3 IPS |
|
|
Object Detection (I8)
|
62% |
2224
166.1 IPS |
|
|
Face Detection (F32)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (F16)
|
100% |
4919
58.5 IPS |
|
|
Face Detection (I8)
|
89% |
5089
60.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10316
80.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10046
77.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
17429
135.2 IPS |
|
|
Style Transfer (F32)
|
100% |
24473
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
22590
29.7 IPS |
|
|
Style Transfer (I8)
|
98% |
25935
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4535
162.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4309
153.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6877
245.6 IPS |
|
|
Text Classification (F32)
|
100% |
1757
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1758
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
528
759.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2595
47.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2472
45.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3333
61.3 IPS |
