Dell Inc. XPS 14 9440
Geekbench ML Score
7986
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 15 2024 02:42 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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3074
575.2 IPS |
|
|
Image Classification (F16)
|
100% |
3777
706.9 IPS |
|
|
Image Classification (I8)
|
100% |
2968
555.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6050
101.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6677
111.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2902
48.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
42354
51.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
37648
45.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
48005
58.1 IPS |
|
|
Object Detection (F32)
|
100% |
3196
238.6 IPS |
|
|
Object Detection (F16)
|
100% |
1977
147.6 IPS |
|
|
Object Detection (I8)
|
61% |
3278
244.7 IPS |
|
|
Face Detection (F32)
|
100% |
9494
112.9 IPS |
|
|
Face Detection (F16)
|
100% |
9076
107.9 IPS |
|
|
Face Detection (I8)
|
89% |
8002
95.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
17501
135.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
20398
158.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
17262
133.9 IPS |
|
|
Style Transfer (F32)
|
100% |
72517
95.4 IPS |
|
|
Style Transfer (F16)
|
100% |
75712
99.6 IPS |
|
|
Style Transfer (I8)
|
98% |
79954
105.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15809
564.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15430
551.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11656
416.3 IPS |
|
|
Text Classification (F32)
|
100% |
1580
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1862
2.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1209
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
2552
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2514
46.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1516
27.9 IPS |
