HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench ML Score
3075
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 02:11 PM |
| Views | 9 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1456
272.5 IPS |
|
|
Image Classification (F16)
|
100% |
1502
281.1 IPS |
|
|
Image Classification (I8)
|
99% |
3501
655.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
775
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2740
45.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5502
6.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
5241
6.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
23350
28.3 IPS |
|
|
Object Detection (F32)
|
100% |
1669
124.6 IPS |
|
|
Object Detection (F16)
|
100% |
1489
111.1 IPS |
|
|
Object Detection (I8)
|
62% |
1475
110.1 IPS |
|
|
Face Detection (F32)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (F16)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (I8)
|
89% |
4205
50.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6362
49.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5435
42.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
14397
111.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12593
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13428
17.7 IPS |
|
|
Style Transfer (I8)
|
98% |
19596
25.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2277
81.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2174
77.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3276
117.0 IPS |
|
|
Text Classification (F32)
|
100% |
1904
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1897
2.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1259
1.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1596
29.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1592
29.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1963
36.1 IPS |
