Dell Inc. XPS 14 9440
Geekbench ML Score
9212
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 02:36 PM |
| Views | 3 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3940
737.3 IPS |
|
|
Image Classification (F16)
|
100% |
4212
788.1 IPS |
|
|
Image Classification (I8)
|
100% |
3761
703.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6704
112.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6771
113.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6136
102.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
42575
51.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
43493
52.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
38593
46.7 IPS |
|
|
Object Detection (F32)
|
100% |
3943
294.4 IPS |
|
|
Object Detection (F16)
|
100% |
4038
301.5 IPS |
|
|
Object Detection (I8)
|
61% |
3771
281.5 IPS |
|
|
Face Detection (F32)
|
100% |
10648
126.6 IPS |
|
|
Face Detection (F16)
|
100% |
11143
132.5 IPS |
|
|
Face Detection (I8)
|
89% |
8906
105.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26789
207.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
26603
206.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
20230
156.9 IPS |
|
|
Style Transfer (F32)
|
100% |
87628
115.3 IPS |
|
|
Style Transfer (F16)
|
100% |
79031
104.0 IPS |
|
|
Style Transfer (I8)
|
98% |
71069
93.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16677
595.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15012
536.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11607
414.5 IPS |
|
|
Text Classification (F32)
|
100% |
1874
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1791
2.57 KIPS |
|
|
Text Classification (I8)
|
98% |
1051
1.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
2962
54.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2935
54.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1712
31.5 IPS |
