Dell Inc. Latitude 7480
Geekbench ML Score
753
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 18 2024 02:26 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7480 |
| Motherboard | Dell Inc. 00F6D3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
424
79.3 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.8 IPS |
|
|
Image Classification (I8)
|
97% |
514
96.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
307
5.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
5.69 IPS |
|
|
Image Segmentation (I8)
|
97% |
455
7.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
995
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
1041
1.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1739
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
412
30.8 IPS |
|
|
Object Detection (F16)
|
100% |
425
31.8 IPS |
|
|
Object Detection (I8)
|
60% |
444
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
875
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
879
10.4 IPS |
|
|
Face Detection (I8)
|
87% |
1191
14.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1225
9.50 IPS |
|
|
Depth Estimation (F16)
|
100% |
1298
10.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
1871
14.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2573
3.38 IPS |
|
|
Style Transfer (F16)
|
100% |
2606
3.43 IPS |
|
|
Style Transfer (I8)
|
85% |
3567
4.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
588
21.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
602
21.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
889
31.8 IPS |
|
|
Text Classification (F32)
|
100% |
492
707.6 IPS |
|
|
Text Classification (F16)
|
100% |
455
653.7 IPS |
|
|
Text Classification (I8)
|
94% |
226
324.9 IPS |
|
|
Machine Translation (F32)
|
100% |
729
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (I8)
|
67% |
755
13.9 IPS |
