Gigabyte Technology Co., Ltd. Z890 AERO D
Geekbench AI Score
9360
Single Precision Score
8840
Half Precision Score
13196
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:31 PM |
| Views | 4 |
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% |
6088
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6124
1.14 KIPS |
|
|
Image Classification (Q)
|
56% |
6104
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7761
125.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3457
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14794
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32934
38.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
68547
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
5765
457.3 IPS |
|
|
Object Detection (HP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (Q)
|
87% |
8450
678.2 IPS |
|
|
Face Detection (SP)
|
100% |
16746
199.0 IPS |
|
|
Face Detection (HP)
|
100% |
14528
172.6 IPS |
|
|
Face Detection (Q)
|
100% |
24140
286.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15981
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17793
137.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33117
257.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42438
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52138
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88221
113.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8645
319.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13192
487.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24218
896.9 IPS |
|
|
Text Classification (SP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3514
60.5 IPS |
