Dell Inc. XPS 14 9440
Geekbench ML Score
2492
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 02:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 14 9440 |
| Motherboard | Dell Inc. 0D7HPG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1264
236.6 IPS |
|
|
Image Classification (F16)
|
100% |
1258
235.5 IPS |
|
|
Image Classification (I8)
|
99% |
2304
431.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1150
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1815
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4908
5.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
4539
5.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
16605
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1249
93.3 IPS |
|
|
Object Detection (F16)
|
100% |
1224
91.4 IPS |
|
|
Object Detection (I8)
|
62% |
1112
83.0 IPS |
|
|
Face Detection (F32)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (F16)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (I8)
|
89% |
3132
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4781
37.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4816
37.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
10000
77.6 IPS |
|
|
Style Transfer (F32)
|
100% |
11262
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11468
15.1 IPS |
|
|
Style Transfer (I8)
|
98% |
16687
21.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2086
74.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2053
73.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3152
112.6 IPS |
|
|
Text Classification (F32)
|
100% |
858
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
860
1.24 KIPS |
|
|
Text Classification (I8)
|
98% |
313
449.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1230
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1240
22.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1952
35.9 IPS |
