Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
6896
Single Precision Score
2262
Half Precision Score
9791
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | July 05 2025 08:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Ausbalanciert |
| 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% |
5927
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
99% |
9900
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2635
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4860
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15230
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7728
9.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
49219
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
4804
381.1 IPS |
|
|
Object Detection (HP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (Q)
|
86% |
12032
967.0 IPS |
|
|
Face Detection (SP)
|
100% |
13440
159.7 IPS |
|
|
Face Detection (HP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
13209
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14446
111.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2674
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16675
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31529
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17024
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22371
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2883
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7062
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1870
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4370
87.8 IPS |
