Dell Inc. XPS 8900
Geekbench ML Score
1303
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 05:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Dell Inc. XPS 8900 |
| Motherboard | Dell Inc. 0XJ8C4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
757
141.7 IPS |
|
|
Image Classification (F16)
|
100% |
696
130.2 IPS |
|
|
Image Classification (I8)
|
97% |
1201
224.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
600
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
927
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2163
2.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
1894
2.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
3428
4.15 IPS |
|
|
Object Detection (F32)
|
100% |
647
48.3 IPS |
|
|
Object Detection (F16)
|
100% |
733
54.7 IPS |
|
|
Object Detection (I8)
|
60% |
747
55.8 IPS |
|
|
Face Detection (F32)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (I8)
|
87% |
1849
22.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2270
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2508
19.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
3966
30.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4705
6.19 IPS |
|
|
Style Transfer (F16)
|
100% |
4567
6.01 IPS |
|
|
Style Transfer (I8)
|
85% |
6942
9.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1305
46.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1050
37.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1629
58.2 IPS |
|
|
Text Classification (F32)
|
100% |
706
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
716
1.03 KIPS |
|
|
Text Classification (I8)
|
94% |
250
359.8 IPS |
|
|
Machine Translation (F32)
|
100% |
933
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
949
17.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1073
19.7 IPS |
