250802 MBG-Felix Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
6808
Single Precision Score
2531
Half Precision Score
11341
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | August 02 2025 01:51 PM |
| Views | 9 |
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(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% |
5489
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (Q)
|
99% |
9015
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16160
262.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14598
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7683
8.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
45324
53.1 IPS |
|
|
Object Detection (SP)
|
100% |
5036
399.5 IPS |
|
|
Object Detection (HP)
|
100% |
1164
92.3 IPS |
|
|
Object Detection (Q)
|
86% |
11985
963.2 IPS |
|
|
Face Detection (SP)
|
100% |
15556
184.8 IPS |
|
|
Face Detection (HP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
13257
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14546
112.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3559
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
24176
192.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28990
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20423
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29190
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3532
130.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6629
245.4 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1612
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4452
89.5 IPS |
