| User | petergrip |
| Upload Date | May 25 2025 06:01 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 00YYVX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.42 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
1450
269.7 IPS |
|
|
Image Classification (Q)
|
99% |
1025
191.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1141
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2520
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
2769
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (Q)
|
85% |
1063
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2273
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2565
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2544
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1857
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3861
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3850
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
5364
6.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
654
878.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2368
40.8 IPS |
|
|
Machine Translation (Q)
|
58% |
644
15.1 IPS |