Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7
Geekbench AI Score
7100
Single Precision Score
2734
Half Precision Score
11719
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:22 AM |
| Views | 7 |
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 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5484
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
929
172.8 IPS |
|
|
Image Classification (Q)
|
99% |
9806
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16708
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15384
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
47261
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
5402
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
1227
97.3 IPS |
|
|
Object Detection (Q)
|
86% |
12350
992.6 IPS |
|
|
Face Detection (SP)
|
100% |
15653
186.0 IPS |
|
|
Face Detection (HP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
13828
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15529
119.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3795
29.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
27017
215.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30275
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21131
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31262
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6453
239.0 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4419
88.8 IPS |
