Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
10820
Single Precision Score
11444
Half Precision Score
18009
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 05:19 PM |
| Views | 4 |
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. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Power Plan | Hchstleistung |
| 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% |
6700
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7840
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11529
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9516
154.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5564
90.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14311
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17088
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16232
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33716
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
6916
548.6 IPS |
|
|
Object Detection (HP)
|
100% |
8188
649.5 IPS |
|
|
Object Detection (Q)
|
88% |
12773
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
19030
226.1 IPS |
|
|
Face Detection (HP)
|
100% |
22949
272.7 IPS |
|
|
Face Detection (Q)
|
100% |
32786
389.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17188
132.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20231
155.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
34657
269.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48557
62.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46858
60.2 IPS |
|
|
Style Transfer (Q)
|
98% |
99250
128.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10030
370.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10304
380.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18857
698.4 IPS |
|
|
Text Classification (SP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6348
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4041
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8480
146.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3743
64.5 IPS |
