HP HP Laptop 15-ef2xxx
Geekbench AI Score
971
Single Precision Score
969
Half Precision Score
760
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Asif_Ahmad |
| Upload Date | September 20 2024 04:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | HP HP Laptop 15-ef2xxx |
| Motherboard | HP 887A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (Q)
|
99% |
497
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
606
9.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1293
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
1330
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
85% |
486
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
1065
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1083
8.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
1082
8.34 IPS |
|
|
Depth Estimation (Q)
|
63% |
943
8.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1462
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1464
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2540
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
724
26.8 IPS |
|
|
Text Classification (SP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
427
574.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (Q)
|
58% |
363
8.53 IPS |
