HP OMEN by HP Gaming Laptop 16-k0xxx
Geekbench AI Score
13296
Single Precision Score
22901
Half Precision Score
9103
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Rayzggz |
| Upload Date | January 28 2025 04:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-k0xxx |
| Motherboard | HP 8A4D |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5504
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
9277
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
4262
794.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8094
131.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12056
195.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6654
108.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
65325
76.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
181654
212.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
54553
63.9 IPS |
|
|
Object Detection (SP)
|
100% |
6848
543.2 IPS |
|
|
Object Detection (HP)
|
100% |
12259
972.4 IPS |
|
|
Object Detection (Q)
|
85% |
5323
428.5 IPS |
|
|
Face Detection (SP)
|
100% |
15320
182.0 IPS |
|
|
Face Detection (HP)
|
100% |
24432
290.3 IPS |
|
|
Face Detection (Q)
|
97% |
12280
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
32316
249.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62988
486.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
22192
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
112231
144.3 IPS |
|
|
Style Transfer (HP)
|
100% |
292711
376.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90395
116.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20134
743.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33740
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13094
484.8 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3500
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1165
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2995
51.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1263
23.7 IPS |
