ASUS System Product Name
Geekbench AI Score
4768
Single Precision Score
2023
Half Precision Score
9162
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | June 25 2025 12:27 PM |
| Views | 3 |
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, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3564
662.8 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.7 IPS |
|
|
Image Classification (Q)
|
99% |
7745
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4121
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6786
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5051
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
26445
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3326
263.9 IPS |
|
|
Object Detection (HP)
|
100% |
980
77.8 IPS |
|
|
Object Detection (Q)
|
86% |
8226
661.1 IPS |
|
|
Face Detection (SP)
|
100% |
9886
117.5 IPS |
|
|
Face Detection (HP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
11662
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9334
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2812
21.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22082
176.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17374
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11835
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33092
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3245
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2401
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6288
232.8 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2332
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4804
96.5 IPS |
