Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
35267
Single Precision Score
47433
Half Precision Score
27154
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 06:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12613
2.35 KIPS |
|
|
Image Classification (HP)
|
99% |
16187
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10930
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20643
334.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24773
401.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19025
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
307665
359.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
519756
606.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
268135
314.2 IPS |
|
|
Object Detection (SP)
|
100% |
17392
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
22155
1.76 KIPS |
|
|
Object Detection (Q)
|
86% |
14831
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
48915
581.2 IPS |
|
|
Face Detection (HP)
|
100% |
60303
716.5 IPS |
|
|
Face Detection (Q)
|
97% |
41908
499.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92155
710.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
153752
1.18 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67890
543.0 IPS |
|
|
Style Transfer (SP)
|
100% |
554644
713.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1036452
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
473090
610.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55502
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71962
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41418
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2417
45.3 IPS |
