HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
2836
Single Precision Score
1361
Half Precision Score
5765
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-xd0xxx |
| Motherboard | HP 8BCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
7276
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3045
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4840
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
20488
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
5880
472.5 IPS |
|
|
Face Detection (SP)
|
100% |
4128
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
9457
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6197
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2165
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6764
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11467
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10291
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20885
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2851
105.6 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
713
951.1 IPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2265
45.5 IPS |
