Dell Inc. XPS 8930
Geekbench ML Score
1835
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 02:47 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% |
947
177.3 IPS |
|
|
Image Classification (F16)
|
100% |
1037
194.1 IPS |
|
|
Image Classification (I8)
|
97% |
1786
334.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1227
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2987
3.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
2934
3.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
7392
8.95 IPS |
|
|
Object Detection (F32)
|
100% |
1017
75.9 IPS |
|
|
Object Detection (F16)
|
100% |
912
68.1 IPS |
|
|
Object Detection (I8)
|
60% |
999
74.6 IPS |
|
|
Face Detection (F32)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (F16)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (I8)
|
87% |
2630
31.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3496
27.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3271
25.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
6595
51.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7691
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
7345
9.66 IPS |
|
|
Style Transfer (I8)
|
85% |
10566
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1864
66.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1386
49.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2275
81.2 IPS |
|
|
Text Classification (F32)
|
100% |
929
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
920
1.32 KIPS |
|
|
Text Classification (I8)
|
94% |
280
403.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1295
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1517
27.9 IPS |
