Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
36434
Single Precision Score
61199
Half Precision Score
27603
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 24 2025 08:02 AM |
| Views | 6 |
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% |
13973
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
21097
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12216
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28718
465.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
40694
659.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25502
414.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
237999
277.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
714469
833.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
200930
235.4 IPS |
|
|
Object Detection (SP)
|
100% |
18281
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
27294
2.17 KIPS |
|
|
Object Detection (Q)
|
86% |
15891
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
55068
654.3 IPS |
|
|
Face Detection (HP)
|
100% |
80523
956.8 IPS |
|
|
Face Detection (Q)
|
97% |
45021
536.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
86424
665.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
170826
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66217
528.8 IPS |
|
|
Style Transfer (SP)
|
100% |
344755
443.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1105331
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
294861
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52950
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82369
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40911
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4949
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2357
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7146
123.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7103
122.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3046
57.1 IPS |
