Dell Inc. XPS 8960
Geekbench ML Score
4829
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 12:19 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% |
2509
469.4 IPS |
|
|
Image Classification (F16)
|
100% |
2604
487.3 IPS |
|
|
Image Classification (I8)
|
99% |
4600
860.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2258
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2148
35.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3396
56.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10061
12.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
10085
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
32009
38.8 IPS |
|
|
Object Detection (F32)
|
100% |
2403
179.4 IPS |
|
|
Object Detection (F16)
|
100% |
2358
176.1 IPS |
|
|
Object Detection (I8)
|
62% |
2197
164.1 IPS |
|
|
Face Detection (F32)
|
100% |
5046
60.0 IPS |
|
|
Face Detection (F16)
|
100% |
4800
57.1 IPS |
|
|
Face Detection (I8)
|
89% |
5099
60.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10490
81.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10261
79.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
17861
138.5 IPS |
|
|
Style Transfer (F32)
|
100% |
24485
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23349
30.7 IPS |
|
|
Style Transfer (I8)
|
98% |
26543
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4621
165.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4283
153.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6494
231.9 IPS |
|
|
Text Classification (F32)
|
100% |
1843
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1762
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
564
811.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2433
44.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2360
43.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3378
62.2 IPS |
