Dell Inc. Inspiron 16 7620 2-in-1
Geekbench ML Score
2328
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 05:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 16 7620 2-in-1 |
| Motherboard | Dell Inc. 0FD3D2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 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% |
1263
236.3 IPS |
|
|
Image Classification (F16)
|
100% |
1234
231.0 IPS |
|
|
Image Classification (I8)
|
99% |
2439
456.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1238
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2125
35.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3757
4.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
3782
4.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
12485
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1250
93.3 IPS |
|
|
Object Detection (F16)
|
100% |
1289
96.2 IPS |
|
|
Object Detection (I8)
|
62% |
1254
93.6 IPS |
|
|
Face Detection (F32)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (F16)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
2557
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4317
33.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4454
34.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
9006
69.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9069
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8759
11.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11152
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1556
55.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1475
52.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2769
98.9 IPS |
|
|
Text Classification (F32)
|
100% |
1135
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1140
1.64 KIPS |
|
|
Text Classification (I8)
|
98% |
868
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1103
20.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2065
38.0 IPS |
