251025 MBG-Felix (CUDIMM) Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
6139
Single Precision Score
2378
Half Precision Score
10342
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | October 25 2025 12:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
4959
922.1 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
99% |
8240
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15809
257.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12741
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
39240
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (Q)
|
86% |
10463
840.9 IPS |
|
|
Face Detection (SP)
|
100% |
13665
162.4 IPS |
|
|
Face Detection (HP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
12940
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13343
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3210
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
21773
173.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28063
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28744
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6149
227.7 IPS |
|
|
Text Classification (SP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3503
70.4 IPS |
