HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
10613
Single Precision Score
20075
Half Precision Score
7382
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | May 15 2025 08:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Laptop 16-b0xxx |
| Motherboard | HP 88F5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4435
824.7 IPS |
|
|
Image Classification (HP)
|
99% |
8320
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
3605
672.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6836
110.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11417
185.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5544
90.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
44462
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155068
180.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
37151
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
5324
422.3 IPS |
|
|
Object Detection (HP)
|
100% |
10657
845.3 IPS |
|
|
Object Detection (Q)
|
84% |
4302
347.0 IPS |
|
|
Face Detection (SP)
|
100% |
11565
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
20296
241.2 IPS |
|
|
Face Detection (Q)
|
97% |
9360
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24112
185.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53738
415.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17574
140.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79140
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
209606
269.5 IPS |
|
|
Style Transfer (Q)
|
98% |
62796
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15626
577.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28689
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9509
352.1 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3229
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1305
24.5 IPS |
