Dell Inc. XPS 13 9370
Geekbench ML Score
1340
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9370 |
| Motherboard | Dell Inc. 0F6P3V |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.99 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% |
808
151.2 IPS |
|
|
Image Classification (F16)
|
100% |
804
150.4 IPS |
|
|
Image Classification (I8)
|
97% |
1106
207.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
608
10.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
835
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1997
2.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
2136
2.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
3656
4.43 IPS |
|
|
Object Detection (F32)
|
100% |
704
52.6 IPS |
|
|
Object Detection (F16)
|
100% |
744
55.6 IPS |
|
|
Object Detection (I8)
|
60% |
737
55.0 IPS |
|
|
Face Detection (F32)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (I8)
|
87% |
1859
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2403
18.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2445
19.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
3797
29.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5268
6.93 IPS |
|
|
Style Transfer (F16)
|
100% |
5207
6.85 IPS |
|
|
Style Transfer (I8)
|
85% |
6727
8.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1127
40.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1177
42.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1486
53.1 IPS |
|
|
Text Classification (F32)
|
100% |
880
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
589
846.8 IPS |
|
|
Text Classification (I8)
|
94% |
267
383.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1142
21.0 IPS |
