Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
36558
Single Precision Score
61205
Half Precision Score
27588
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | April 30 2025 06:31 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14029
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
21507
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
12315
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28589
463.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
40697
659.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25371
412.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
237820
277.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
690789
806.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
203678
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
18154
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
27685
2.20 KIPS |
|
|
Object Detection (Q)
|
86% |
15752
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54644
649.3 IPS |
|
|
Face Detection (HP)
|
100% |
81187
964.7 IPS |
|
|
Face Detection (Q)
|
97% |
45115
537.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87604
674.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
173587
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65514
523.2 IPS |
|
|
Style Transfer (SP)
|
100% |
344403
442.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1120310
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
298897
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54918
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81914
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40886
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4841
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2344
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6960
119.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7039
121.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3010
56.5 IPS |
