Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
7655
Single Precision Score
2529
Half Precision Score
10896
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | April 30 2025 07:22 AM |
| Views | 8 |
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% |
5874
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (Q)
|
99% |
10483
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3161
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4693
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16365
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8369
9.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
56643
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
5434
431.0 IPS |
|
|
Object Detection (HP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (Q)
|
86% |
12916
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
16200
192.5 IPS |
|
|
Face Detection (HP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
14415
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17744
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3612
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26658
212.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35822
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20543
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31796
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5989
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3480
128.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7072
261.9 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1771
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4284
86.1 IPS |
