Dell Inc. Inspiron 14 Plus 7441
Geekbench ML Score
2327
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 06 2024 07:17 PM |
| Views | 16 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 14 Plus 7441 |
| Motherboard | Dell Inc. 047JFG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1415
264.8 IPS |
|
|
Image Classification (F16)
|
100% |
1452
271.7 IPS |
|
|
Image Classification (I8)
|
100% |
1208
226.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1715
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1715
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1488
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9729
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9714
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8681
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1222
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1233
92.0 IPS |
|
|
Object Detection (I8)
|
71% |
1100
82.1 IPS |
|
|
Face Detection (F32)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (F16)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (I8)
|
93% |
2249
26.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5448
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5478
42.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
4622
35.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13138
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13132
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
12061
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5000
178.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5071
181.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3529
126.0 IPS |
|
|
Text Classification (F32)
|
100% |
297
427.2 IPS |
|
|
Text Classification (F16)
|
100% |
285
409.4 IPS |
|
|
Text Classification (I8)
|
98% |
244
350.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1070
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (I8)
|
65% |
683
12.6 IPS |
