Dell Inc. XPS 14 9440
Geekbench ML Score
2714
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 15 2024 02:45 PM |
| Views | 2 |
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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1181
221.0 IPS |
|
|
Image Classification (F16)
|
100% |
1185
221.7 IPS |
|
|
Image Classification (I8)
|
100% |
1050
196.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1532
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1472
24.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1358
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13227
16.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
12884
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11620
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1157
86.4 IPS |
|
|
Object Detection (F16)
|
100% |
975
72.8 IPS |
|
|
Object Detection (I8)
|
54% |
1045
78.0 IPS |
|
|
Face Detection (F32)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (I8)
|
89% |
1206
14.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7543
58.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7437
57.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
6287
48.8 IPS |
|
|
Style Transfer (F32)
|
100% |
42320
55.7 IPS |
|
|
Style Transfer (F16)
|
100% |
40574
53.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32633
42.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6051
216.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6504
232.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4345
155.2 IPS |
|
|
Text Classification (F32)
|
90% |
572
821.4 IPS |
|
|
Text Classification (F16)
|
90% |
453
651.2 IPS |
|
|
Text Classification (I8)
|
90% |
351
504.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (I8)
|
70% |
824
15.2 IPS |
