251025 MBG-Felix (CUDIMM) Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
36342
Single Precision Score
60386
Half Precision Score
27899
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | October 25 2025 12:44 AM |
| Views | 4 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13946
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
20653
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
12300
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28230
457.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
39966
647.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25266
410.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
241873
282.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
733054
855.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
206448
241.8 IPS |
|
|
Object Detection (SP)
|
100% |
18144
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26403
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
15751
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54447
646.9 IPS |
|
|
Face Detection (HP)
|
100% |
79067
939.5 IPS |
|
|
Face Detection (Q)
|
97% |
45116
537.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88772
683.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
168909
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67254
537.1 IPS |
|
|
Style Transfer (SP)
|
100% |
351709
452.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1120262
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
304128
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54232
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84107
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41471
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2417
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6700
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6792
117.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3057
57.3 IPS |
