HP HP Pav Gaming Laptop 15-ec1076AX
Geekbench AI Score
7706
Single Precision Score
6307
Half Precision Score
5574
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pav Gaming Laptop 15-ec1076AX |
| Motherboard | HP 87B3 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3210
597.0 IPS |
|
|
Image Classification (HP)
|
100% |
3094
575.3 IPS |
|
|
Image Classification (Q)
|
100% |
2629
489.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5181
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4404
71.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4462
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
35509
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21290
24.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
31149
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3630
288.0 IPS |
|
|
Object Detection (HP)
|
100% |
3630
287.9 IPS |
|
|
Object Detection (Q)
|
89% |
2822
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
8049
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
7217
85.8 IPS |
|
|
Face Detection (Q)
|
97% |
6663
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18822
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14740
113.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
14033
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61018
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42417
54.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52473
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12214
451.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9389
346.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7685
284.6 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
905
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1843
31.9 IPS |
|
|
Machine Translation (Q)
|
60% |
824
18.4 IPS |
