Dell Inc. XPS 14 9440
Geekbench ML Score
2829
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 15 2024 02:39 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 14 9440 |
| Motherboard | Dell Inc. 0H14N3 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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% |
1407
263.3 IPS |
|
|
Image Classification (F16)
|
100% |
1442
269.9 IPS |
|
|
Image Classification (I8)
|
99% |
2501
468.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1238
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2029
33.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5167
6.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
5056
6.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
18895
22.9 IPS |
|
|
Object Detection (F32)
|
100% |
1397
104.3 IPS |
|
|
Object Detection (F16)
|
100% |
1341
100.1 IPS |
|
|
Object Detection (I8)
|
62% |
1348
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (F16)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (I8)
|
89% |
3597
42.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5701
44.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5616
43.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
11202
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12304
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12837
16.9 IPS |
|
|
Style Transfer (I8)
|
98% |
19158
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2326
83.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2501
89.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3680
131.4 IPS |
|
|
Text Classification (F32)
|
100% |
989
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
964
1.39 KIPS |
|
|
Text Classification (I8)
|
98% |
373
536.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1493
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1466
27.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2297
42.3 IPS |
