Gigabyte Technology Co., Ltd. Z890 AERO D
Geekbench AI Score
9420
Single Precision Score
8841
Half Precision Score
13031
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:34 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% |
6043
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5820
1.08 KIPS |
|
|
Image Classification (Q)
|
56% |
5534
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7854
127.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14840
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32272
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
68924
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
5753
456.3 IPS |
|
|
Object Detection (HP)
|
100% |
4862
385.6 IPS |
|
|
Object Detection (Q)
|
87% |
8427
676.3 IPS |
|
|
Face Detection (SP)
|
100% |
17066
202.8 IPS |
|
|
Face Detection (HP)
|
100% |
14738
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
25586
304.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16061
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17386
133.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32307
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42547
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50578
65.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92175
118.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8764
323.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13191
487.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23159
857.7 IPS |
|
|
Text Classification (SP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3364
58.0 IPS |
