Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
9897
Single Precision Score
10417
Half Precision Score
15894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dmichaels11 |
| Upload Date | June 13 2025 10:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | Ultimate Performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6061
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7181
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10063
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8748
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3986
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15502
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35039
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75982
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
6110
484.7 IPS |
|
|
Object Detection (HP)
|
100% |
6289
498.9 IPS |
|
|
Object Detection (Q)
|
87% |
10232
821.2 IPS |
|
|
Face Detection (SP)
|
100% |
17100
203.2 IPS |
|
|
Face Detection (HP)
|
100% |
17958
213.4 IPS |
|
|
Face Detection (Q)
|
100% |
33388
396.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15878
122.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20097
154.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36507
284.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43349
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55762
71.7 IPS |
|
|
Style Transfer (Q)
|
98% |
103114
133.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9218
340.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14845
548.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24290
899.6 IPS |
|
|
Text Classification (SP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2238
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4776
82.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4830
83.2 IPS |
