Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench AI Score
7520
Single Precision Score
2381
Half Precision Score
11347
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 10:24 PM |
| Views | 2 |
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 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% |
5686
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
875
162.8 IPS |
|
|
Image Classification (Q)
|
99% |
10756
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5340
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16809
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8388
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
54678
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
5337
423.4 IPS |
|
|
Object Detection (HP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (Q)
|
86% |
12570
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
14536
172.7 IPS |
|
|
Face Detection (HP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
14088
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17323
133.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2997
23.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
26316
210.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37763
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20821
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39291
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3152
116.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6729
249.2 IPS |
|
|
Text Classification (SP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1052
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4979
100.0 IPS |
