ELUKTRONICS HYDROC-16
Geekbench AI Score
25998
Single Precision Score
37568
Half Precision Score
19802
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 01:36 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ELUKTRONICS HYDROC-16 |
| Motherboard | ELUKTRONICS HYDROC-16 powered by premamod.com |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10601
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
15748
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
8846
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15078
244.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18051
292.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13930
226.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
199561
232.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
409728
478.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
178062
208.5 IPS |
|
|
Object Detection (SP)
|
100% |
13419
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
18935
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
10773
862.4 IPS |
|
|
Face Detection (SP)
|
100% |
33046
392.7 IPS |
|
|
Face Detection (HP)
|
100% |
44051
523.4 IPS |
|
|
Face Detection (Q)
|
97% |
28414
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
55073
424.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
116461
899.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
44281
357.1 IPS |
|
|
Style Transfer (SP)
|
100% |
321389
413.1 IPS |
|
|
Style Transfer (HP)
|
100% |
775943
997.5 IPS |
|
|
Style Transfer (Q)
|
98% |
287284
370.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45888
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62347
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35581
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1651
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1847
41.2 IPS |
