Dell Inc. Inspiron 14 7445 2-in-1
Geekbench ML Score
3334
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 06 2024 07:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 14 7445 2-in-1 |
| Motherboard | Dell Inc. 0MT90K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1939
362.8 IPS |
|
|
Image Classification (F16)
|
100% |
1849
346.1 IPS |
|
|
Image Classification (I8)
|
99% |
4729
884.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1033
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1138
19.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2226
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6618
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
6597
7.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
21974
26.6 IPS |
|
|
Object Detection (F32)
|
100% |
1643
122.6 IPS |
|
|
Object Detection (F16)
|
100% |
1916
143.1 IPS |
|
|
Object Detection (I8)
|
62% |
1868
139.5 IPS |
|
|
Face Detection (F32)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (F16)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (I8)
|
89% |
4712
56.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7181
55.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7362
57.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13475
104.5 IPS |
|
|
Style Transfer (F32)
|
100% |
13650
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
14303
18.8 IPS |
|
|
Style Transfer (I8)
|
98% |
21448
28.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2457
87.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2431
86.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3107
111.0 IPS |
|
|
Text Classification (F32)
|
100% |
1829
2.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1442
2.07 KIPS |
|
|
Text Classification (I8)
|
98% |
366
526.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2083
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1996
36.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2530
46.6 IPS |
