HP OMEN Gaming Laptop 17-db1xxx
Geekbench AI Score
7549
Single Precision Score
11656
Half Precision Score
5492
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChrissoChrisso |
| Upload Date | June 19 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 17-db1xxx |
| Motherboard | HP 8E0F |
| Power Plan | Balanced |
| 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 | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
4555
847.2 IPS |
|
|
Image Classification (Q)
|
100% |
1870
347.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4135
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4976
80.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3284
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
42893
50.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71850
83.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30683
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
3588
284.6 IPS |
|
|
Object Detection (Q)
|
87% |
2270
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
6091
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
11097
131.9 IPS |
|
|
Face Detection (Q)
|
97% |
5176
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16602
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26826
206.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12712
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
70826
91.0 IPS |
|
|
Style Transfer (HP)
|
100% |
111764
143.7 IPS |
|
|
Style Transfer (Q)
|
98% |
48503
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14521
536.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26333
972.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7718
285.8 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1484
27.8 IPS |
