Dell Inc. Latitude 5430
Geekbench AI Score
1827
Single Precision Score
827
Half Precision Score
2393
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 02:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Latitude 5430 |
| Motherboard | Dell Inc. 01Y2TP |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1212
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
99% |
2069
385.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1844
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
8927
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (Q)
|
88% |
1185
95.0 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
2609
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3526
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1136
8.75 IPS |
|
|
Depth Estimation (Q)
|
77% |
4532
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7366
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4736
6.09 IPS |
|
|
Style Transfer (Q)
|
98% |
10635
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2390
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.0 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
60% |
1286
28.7 IPS |
