HP HP Pavilion Gaming Laptop 15-ec0xxx
Geekbench AI Score
632
Single Precision Score
656
Half Precision Score
545
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Aytekinz |
| Upload Date | November 17 2025 04:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Zorin OS 18 |
| Model | HP HP Pavilion Gaming Laptop 15-ec0xxx |
| Motherboard | HP 86D4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3550H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
427
6.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
836
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
85% |
393
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
983
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.60 IPS |
|
|
Depth Estimation (Q)
|
63% |
736
6.91 IPS |
|
|
Style Transfer (SP)
|
100% |
1299
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1308
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
1820
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
479
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
659
880.0 IPS |
|
|
Text Classification (HP)
|
100% |
636
849.0 IPS |
|
|
Text Classification (Q)
|
92% |
310
416.0 IPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
58% |
303
7.12 IPS |
