251006 MBG-Felix (5080) Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
35659
Single Precision Score
59306
Half Precision Score
27498
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | October 06 2025 12:02 PM |
| Views | 13 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13623
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
20752
3.86 KIPS |
|
|
Image Classification (Q)
|
100% |
11887
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28456
461.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
39759
644.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
25521
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
239101
279.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
718230
838.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
203939
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
17933
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
25988
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
15775
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
52916
628.8 IPS |
|
|
Face Detection (HP)
|
100% |
77648
922.6 IPS |
|
|
Face Detection (Q)
|
97% |
44777
533.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88135
679.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
165381
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66481
530.9 IPS |
|
|
Style Transfer (SP)
|
100% |
343002
440.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1099659
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
299690
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53148
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81481
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40284
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4483
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6731
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6776
116.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3041
57.0 IPS |
