Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
50070
Single Precision Score
75242
Half Precision Score
36650
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 22 2025 09:24 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | Hchstleistung |
| 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% |
18286
3.40 KIPS |
|
|
Image Classification (HP)
|
100% |
23842
4.43 KIPS |
|
|
Image Classification (Q)
|
100% |
15346
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37974
615.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
48501
786.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
34498
561.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
437150
510.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
1078460
1.26 KIPS |
|
|
Pose Estimation (Q)
|
96% |
352634
413.1 IPS |
|
|
Object Detection (SP)
|
100% |
24482
1.94 KIPS |
|
|
Object Detection (HP)
|
100% |
31743
2.52 KIPS |
|
|
Object Detection (Q)
|
85% |
20510
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
75961
902.6 IPS |
|
|
Face Detection (HP)
|
100% |
99500
1.18 KIPS |
|
|
Face Detection (Q)
|
97% |
58918
702.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
109612
844.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
197968
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80037
641.1 IPS |
|
|
Style Transfer (SP)
|
100% |
627844
807.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1778217
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
525091
677.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76819
2.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103486
3.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54245
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4430
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2594
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
7491
129.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7607
131.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3278
61.5 IPS |
