Dell Inc. Latitude 7320 Detachable
Geekbench ML Score
1331
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2024 09:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7320 Detachable |
| Motherboard | Dell Inc. 0TNW0H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1180G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.19 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 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% |
700
131.0 IPS |
|
|
Image Classification (F16)
|
100% |
529
99.0 IPS |
|
|
Image Classification (I8)
|
99% |
1816
339.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
488
8.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
529
8.83 IPS |
|
|
Image Segmentation (I8)
|
98% |
953
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1097
1.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
1530
1.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
8338
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
657
49.1 IPS |
|
|
Object Detection (F16)
|
100% |
624
46.6 IPS |
|
|
Object Detection (I8)
|
62% |
788
58.8 IPS |
|
|
Face Detection (F32)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (I8)
|
89% |
2565
30.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2470
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2022
15.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
6560
50.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4301
5.66 IPS |
|
|
Style Transfer (F16)
|
100% |
4335
5.70 IPS |
|
|
Style Transfer (I8)
|
98% |
7900
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
771
27.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1065
38.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2225
79.5 IPS |
|
|
Text Classification (F32)
|
100% |
772
1.11 KIPS |
|
|
Text Classification (F16)
|
100% |
716
1.03 KIPS |
|
|
Text Classification (I8)
|
98% |
315
452.9 IPS |
|
|
Machine Translation (F32)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1480
27.2 IPS |
