Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
6633
Single Precision Score
2382
Half Precision Score
10004
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 24 2025 07:58 AM |
| Views | 3 |
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% |
5405
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
99% |
10185
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4480
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15192
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
26009
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3481
276.1 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
11547
928.0 IPS |
|
|
Face Detection (SP)
|
100% |
14438
171.6 IPS |
|
|
Face Detection (HP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
14242
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14595
112.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3515
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
25114
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30541
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20404
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36727
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3548
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6932
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2968
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4672
93.9 IPS |
