Dell Inc. Latitude 3300
Geekbench AI Score
522
Single Precision Score
335
Half Precision Score
584
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 10:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-7020U |
| 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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
96% |
431
80.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
368
5.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (Q)
|
87% |
1248
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
86% |
330
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
96% |
796
9.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
926
7.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.73 IPS |
|
|
Depth Estimation (Q)
|
77% |
814
6.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1910
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1577
2.03 IPS |
|
|
Style Transfer (Q)
|
87% |
2412
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
412
550.3 IPS |
|
|
Text Classification (HP)
|
100% |
239
318.5 IPS |
|
|
Text Classification (Q)
|
97% |
194
259.3 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.47 IPS |
