Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
9708
Single Precision Score
9554
Half Precision Score
17828
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | Hchstleistung |
| 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% |
5797
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
4863
904.3 IPS |
|
|
Image Classification (Q)
|
100% |
11464
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7552
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14221
230.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16964
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15939
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34083
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
5338
423.4 IPS |
|
|
Object Detection (HP)
|
100% |
5317
421.8 IPS |
|
|
Object Detection (Q)
|
88% |
12702
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
15594
185.3 IPS |
|
|
Face Detection (HP)
|
100% |
15113
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
32313
383.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14711
113.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19196
147.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
33622
261.4 IPS |
|
|
Style Transfer (SP)
|
100% |
47452
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44570
57.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93973
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9845
363.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9637
355.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18897
699.8 IPS |
|
|
Text Classification (SP)
|
100% |
4450
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3570
4.76 KIPS |
|
|
Text Classification (Q)
|
92% |
6275
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8081
139.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3797
65.4 IPS |
