250925 MBG-Felix Gigabyte Technology Co., Ltd. Z890 AERO G
Geekbench AI Score
5462
Single Precision Score
2136
Half Precision Score
9977
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | September 25 2025 03:08 PM |
| Views | 8 |
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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4083
759.4 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
99% |
9058
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15236
247.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11823
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
36617
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
3784
300.1 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
86% |
9252
743.5 IPS |
|
|
Face Detection (SP)
|
100% |
11358
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
12270
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10981
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2600
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20032
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25066
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17071
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27778
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5775
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1472
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3604
72.4 IPS |
