ASUS System Product Name
Geekbench AI Score
4196
Single Precision Score
1568
Half Precision Score
6213
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | September 11 2025 08:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4972
924.7 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.3 IPS |
|
|
Image Classification (Q)
|
99% |
7998
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4416
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11713
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4987
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
39001
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (HP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (Q)
|
86% |
9141
734.6 IPS |
|
|
Face Detection (SP)
|
100% |
13320
158.3 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
13554
161.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14055
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2241
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
1476
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6721
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
5032
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
8173
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5814
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4054
81.5 IPS |
