Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
36611
Single Precision Score
61707
Half Precision Score
27420
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | April 21 2025 05:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
14323
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
21595
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12331
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27963
453.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
40667
659.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24950
405.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
231660
270.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
700003
816.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
200364
234.7 IPS |
|
|
Object Detection (SP)
|
100% |
18557
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
28862
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
15822
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54962
653.1 IPS |
|
|
Face Detection (HP)
|
100% |
81853
972.6 IPS |
|
|
Face Detection (Q)
|
97% |
45363
540.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87268
672.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
173524
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64107
511.9 IPS |
|
|
Style Transfer (SP)
|
100% |
344564
442.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1118571
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
294595
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54045
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82921
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40999
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
4027
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4894
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2315
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6987
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6998
120.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3030
56.8 IPS |
