Dell Inc. Latitude 3300
Geekbench AI Score
706
Single Precision Score
844
Half Precision Score
503
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Graha |
| Upload Date | September 10 2024 01:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 620 |
| 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% |
308
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
321
5.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3081
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
1625
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
98% |
369
29.4 IPS |
|
|
Object Detection (Q)
|
89% |
254
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (Q)
|
97% |
381
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1315
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
1669
12.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
998
8.08 IPS |
|
|
Style Transfer (SP)
|
100% |
4798
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
7324
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3667
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.5 IPS |
|
|
Text Classification (HP)
|
100% |
218
291.4 IPS |
|
|
Text Classification (Q)
|
97% |
200
267.9 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
60% |
165
3.69 IPS |
