Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
39168
Single Precision Score
63869
Half Precision Score
29560
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | April 30 2025 06:36 AM |
| Views | 14 |
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% |
15306
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
22038
4.10 KIPS |
|
|
Image Classification (Q)
|
100% |
13276
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29988
486.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
40620
658.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27019
439.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
258083
301.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
742388
866.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
223248
261.5 IPS |
|
|
Object Detection (SP)
|
100% |
19429
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
28455
2.26 KIPS |
|
|
Object Detection (Q)
|
86% |
16964
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
58082
690.1 IPS |
|
|
Face Detection (HP)
|
100% |
84186
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
47027
560.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
94742
729.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
185427
1.43 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69295
553.4 IPS |
|
|
Style Transfer (SP)
|
100% |
380726
489.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1184900
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
330259
425.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58659
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88690
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43747
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4217
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2516
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7126
122.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7034
121.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3166
59.4 IPS |
