Dell Inc. Latitude 3300
Geekbench AI Score
942
Single Precision Score
1473
Half Precision Score
1403
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 01:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 620 (iGPU) |
| 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% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (Q)
|
100% |
1004
186.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1688
1.97 IPS |
|
|
Pose Estimation (HP)
|
99% |
1810
2.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
2357
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
998
79.4 IPS |
|
|
Object Detection (Q)
|
88% |
956
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
2258
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1874
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3419
26.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
3121
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4535
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
6378
8.20 IPS |
|
|
Style Transfer (Q)
|
98% |
5587
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1376
51.0 IPS |
|
|
Text Classification (SP)
|
71% |
404
584.8 IPS |
|
|
Text Classification (HP)
|
71% |
468
676.9 IPS |
|
|
Text Classification (Q)
|
92% |
365
490.5 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
97% |
612
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
611
10.6 IPS |
