Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
6222
Single Precision Score
2260
Half Precision Score
9935
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | May 02 2025 07:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
4097
761.9 IPS |
|
|
Image Classification (HP)
|
100% |
767
142.6 IPS |
|
|
Image Classification (Q)
|
99% |
9816
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4335
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12762
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7033
8.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
41022
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
4531
359.4 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
86% |
10816
869.3 IPS |
|
|
Face Detection (SP)
|
100% |
13640
162.1 IPS |
|
|
Face Detection (HP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
13291
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14554
112.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3114
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23602
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27574
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17577
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29781
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4532
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2942
108.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6988
258.8 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1743
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4361
87.6 IPS |
