Dell Inc. Latitude 3300
Geekbench AI Score
718
Single Precision Score
745
Half Precision Score
1150
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 01:26 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-7020U CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude 3300 |
| Motherboard | Dell Inc. 07C2G0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-7020U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
100% |
692
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
1621
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
87% |
728
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1160
8.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
81% |
1891
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2593
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2597
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4530
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
977
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.0 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.2 IPS |
|
|
Text Classification (Q)
|
91% |
578
776.7 IPS |
|
|
Machine Translation (SP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
100% |
811
14.0 IPS |
