Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA
Geekbench AI Score
9345
Single Precision Score
10261
Half Precision Score
16851
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 11:19 AM |
| Views | 3 |
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. Z890I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5643
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6941
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10968
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8326
135.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13750
222.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13823
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15086
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32927
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
5786
459.0 IPS |
|
|
Object Detection (HP)
|
100% |
7386
585.9 IPS |
|
|
Object Detection (Q)
|
88% |
11970
959.5 IPS |
|
|
Face Detection (SP)
|
100% |
16794
199.6 IPS |
|
|
Face Detection (HP)
|
100% |
20697
245.9 IPS |
|
|
Face Detection (Q)
|
100% |
30758
365.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14945
115.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18091
139.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
33189
258.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40198
51.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42030
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
94102
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8155
301.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9374
346.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18107
670.6 IPS |
|
|
Text Classification (SP)
|
100% |
4207
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5544
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7309
125.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3221
55.5 IPS |
