ASUS System Product Name
Geekbench AI Score
7232
Single Precision Score
2349
Half Precision Score
10235
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 01:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
5677
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
896
166.5 IPS |
|
|
Image Classification (Q)
|
99% |
8690
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11830
192.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14048
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5915
6.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
44534
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
5674
450.1 IPS |
|
|
Object Detection (HP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (Q)
|
86% |
8831
709.7 IPS |
|
|
Face Detection (SP)
|
100% |
16980
201.8 IPS |
|
|
Face Detection (HP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
14495
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16409
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3092
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26245
209.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33536
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14887
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35379
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7699
285.1 IPS |
|
|
Text Classification (SP)
|
100% |
2046
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
730
978.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3018
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4126
82.9 IPS |
