Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
7316
Single Precision Score
2492
Half Precision Score
10795
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 06 2025 09:43 AM |
| Views | 7 |
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% |
5558
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
801
149.0 IPS |
|
|
Image Classification (Q)
|
99% |
10451
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5904
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16606
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8310
9.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
51986
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
5237
415.4 IPS |
|
|
Object Detection (HP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (Q)
|
86% |
12489
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
14703
174.7 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
14245
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16955
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3463
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23851
190.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34862
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20932
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28042
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3706
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7128
263.9 IPS |
|
|
Text Classification (SP)
|
100% |
2017
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1857
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4256
85.5 IPS |
