Dell Inc. XPS 8910
Geekbench ML Score
1356
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. XPS 8910 |
| Motherboard | Dell Inc. 0WPMFG |
| 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 | 3.40 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
712
133.2 IPS |
|
|
Image Classification (F16)
|
100% |
769
143.9 IPS |
|
|
Image Classification (I8)
|
97% |
1144
214.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
517
8.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
530
8.85 IPS |
|
|
Image Segmentation (I8)
|
97% |
831
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2035
2.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
2096
2.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
3493
4.23 IPS |
|
|
Object Detection (F32)
|
100% |
769
57.4 IPS |
|
|
Object Detection (F16)
|
100% |
723
54.0 IPS |
|
|
Object Detection (I8)
|
60% |
763
56.9 IPS |
|
|
Face Detection (F32)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (I8)
|
87% |
1986
23.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2415
18.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2557
19.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
4350
33.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5337
7.02 IPS |
|
|
Style Transfer (F16)
|
100% |
5216
6.86 IPS |
|
|
Style Transfer (I8)
|
85% |
6794
8.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1202
42.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1111
39.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1467
52.4 IPS |
|
|
Text Classification (F32)
|
100% |
973
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
948
1.36 KIPS |
|
|
Text Classification (I8)
|
94% |
279
401.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1027
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1004
18.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1214
22.3 IPS |
