HP OMEN by HP Laptop 16-b0xxx
Geekbench AI Score
1515
Single Precision Score
1528
Half Precision Score
1042
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | May 15 2025 08:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
656
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (Q)
|
100% |
576
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4396
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4825
5.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
3010
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
98% |
602
47.9 IPS |
|
|
Object Detection (Q)
|
86% |
616
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1158
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2897
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3118
24.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2029
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9329
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12572
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
6966
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2198
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.8 IPS |
|
|
Text Classification (Q)
|
97% |
415
555.5 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
70% |
362
6.79 IPS |
