Gigabyte Technology Co., Ltd. Z890 AERO D
Geekbench AI Score
9384
Single Precision Score
9041
Half Precision Score
13061
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:38 PM |
| Views | 2 |
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 AERO D |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO D |
| Power Plan | Balanced |
| 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% |
6095
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6242
1.16 KIPS |
|
|
Image Classification (Q)
|
56% |
5718
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7863
127.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14847
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32617
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68479
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
5695
451.7 IPS |
|
|
Object Detection (HP)
|
100% |
5129
406.8 IPS |
|
|
Object Detection (Q)
|
87% |
8382
672.7 IPS |
|
|
Face Detection (SP)
|
100% |
16946
201.4 IPS |
|
|
Face Detection (HP)
|
100% |
14600
173.5 IPS |
|
|
Face Detection (Q)
|
100% |
23740
282.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15934
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17735
136.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
33891
263.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42325
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51236
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87016
112.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8721
322.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13974
516.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23699
877.7 IPS |
|
|
Text Classification (SP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3449
59.4 IPS |
