ASUS System Product Name
Geekbench AI Score
7349
Single Precision Score
2283
Half Precision Score
10229
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 12:37 AM |
| Views | 10 |
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% |
5940
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (Q)
|
99% |
9114
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11977
194.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14356
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5787
6.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
46920
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
5663
449.2 IPS |
|
|
Object Detection (HP)
|
100% |
1232
97.8 IPS |
|
|
Object Detection (Q)
|
86% |
8894
714.8 IPS |
|
|
Face Detection (SP)
|
100% |
17580
208.9 IPS |
|
|
Face Detection (HP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
14792
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16876
130.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3105
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25257
201.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32905
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13774
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42029
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7757
287.2 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
619
829.3 IPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3654
73.4 IPS |
