HP OMEN Gaming Laptop 17-db1xxx
Geekbench AI Score
2442
Single Precision Score
2392
Half Precision Score
1878
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | ChrissoChrisso |
| Upload Date | June 19 2025 05:16 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | HP OMEN Gaming Laptop 17-db1xxx |
| Motherboard | HP 8E0F |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1655
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
1613
299.9 IPS |
|
|
Image Classification (Q)
|
99% |
1319
246.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1243
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3259
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3233
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3709
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
85% |
1433
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
3046
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2938
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2430
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4218
5.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4243
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
7097
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2002
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (Q)
|
58% |
727
17.1 IPS |
