ASUS System Product Name
Geekbench AI Score
7156
Single Precision Score
2064
Half Precision Score
12313
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | April 06 2026 10:15 PM |
| Views | 5 |
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 | Prestazioni elevate |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5895
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (Q)
|
99% |
9109
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16737
272.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13658
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5814
6.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
41524
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
5729
454.4 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.7 IPS |
|
|
Object Detection (Q)
|
86% |
9959
800.4 IPS |
|
|
Face Detection (SP)
|
100% |
17643
209.6 IPS |
|
|
Face Detection (HP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
14909
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16413
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2729
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
26548
211.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31586
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14207
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
45739
59.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4688
173.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7929
293.6 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1912
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4631
93.1 IPS |
