Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
10312
Single Precision Score
10506
Half Precision Score
17654
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 06:57 PM |
| Views | 2 |
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% |
6778
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7758
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11327
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9285
150.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5477
88.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13780
223.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16903
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15691
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33910
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
6721
533.2 IPS |
|
|
Object Detection (HP)
|
100% |
7980
633.0 IPS |
|
|
Object Detection (Q)
|
88% |
12467
999.4 IPS |
|
|
Face Detection (SP)
|
100% |
15850
188.3 IPS |
|
|
Face Detection (HP)
|
100% |
13870
164.8 IPS |
|
|
Face Detection (Q)
|
100% |
31064
369.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14500
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18541
142.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
32793
255.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47549
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44300
56.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95999
123.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9783
361.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9811
362.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18599
688.8 IPS |
|
|
Text Classification (SP)
|
100% |
4537
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
6179
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7919
136.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3966
68.3 IPS |
