HP OMEN 35L GT16-0xxx
Geekbench AI Score
24512
Single Precision Score
36538
Half Precision Score
18745
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 28 2024 03:47 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10302
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
14848
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
9007
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15556
252.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19153
310.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14027
228.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
153058
178.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
383935
448.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
138343
162.0 IPS |
|
|
Object Detection (SP)
|
100% |
11702
928.2 IPS |
|
|
Object Detection (HP)
|
100% |
17620
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
9470
758.0 IPS |
|
|
Face Detection (SP)
|
100% |
27770
330.0 IPS |
|
|
Face Detection (HP)
|
100% |
37430
444.7 IPS |
|
|
Face Detection (Q)
|
97% |
23755
283.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
58363
449.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99639
769.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
45494
366.9 IPS |
|
|
Style Transfer (SP)
|
100% |
276611
355.6 IPS |
|
|
Style Transfer (HP)
|
100% |
647925
832.9 IPS |
|
|
Style Transfer (Q)
|
98% |
240721
310.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44232
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55453
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32156
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1860
41.5 IPS |
