Dell Inc. Latitude 3300
Geekbench AI Score
528
Single Precision Score
334
Half Precision Score
576
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 09:52 AM |
| Views | 6 |
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% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
96% |
423
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
355
5.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
684
0.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
1238
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
86% |
322
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
96% |
805
9.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.76 IPS |
|
|
Depth Estimation (Q)
|
77% |
820
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1924
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1557
2.00 IPS |
|
|
Style Transfer (Q)
|
87% |
2343
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
559
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
440
586.8 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.6 IPS |
|
|
Text Classification (Q)
|
97% |
188
252.2 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
60% |
419
9.34 IPS |
