Dell Inc. XPS 8930
Geekbench ML Score
1849
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 02:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 8930 |
| Motherboard | Dell Inc. 0DF42J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
1085
202.9 IPS |
|
|
Image Classification (F16)
|
100% |
1130
211.5 IPS |
|
|
Image Classification (I8)
|
97% |
1748
327.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1205
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2979
3.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
3009
3.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
6980
8.45 IPS |
|
|
Object Detection (F32)
|
100% |
995
74.3 IPS |
|
|
Object Detection (F16)
|
100% |
930
69.4 IPS |
|
|
Object Detection (I8)
|
60% |
1068
79.8 IPS |
|
|
Face Detection (F32)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1519
18.1 IPS |
|
|
Face Detection (I8)
|
87% |
2664
31.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3364
26.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3342
25.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
6286
48.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7541
9.92 IPS |
|
|
Style Transfer (F16)
|
100% |
8187
10.8 IPS |
|
|
Style Transfer (I8)
|
85% |
10357
13.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1673
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1636
58.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2035
72.7 IPS |
|
|
Text Classification (F32)
|
100% |
955
1.37 KIPS |
|
|
Text Classification (F16)
|
100% |
924
1.33 KIPS |
|
|
Text Classification (I8)
|
94% |
304
437.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1278
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1543
28.4 IPS |
