ASUS System Product Name
Geekbench AI Score
7687
Single Precision Score
7642
Half Precision Score
17920
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 24 2026 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
4493
835.5 IPS |
|
|
Image Classification (HP)
|
100% |
4456
828.6 IPS |
|
|
Image Classification (Q)
|
100% |
11948
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6843
110.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6859
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13237
214.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13897
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13833
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38972
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
3982
315.8 IPS |
|
|
Object Detection (HP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (Q)
|
88% |
12659
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
13298
158.0 IPS |
|
|
Face Detection (HP)
|
100% |
12859
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
29245
347.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11758
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11962
92.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
33921
263.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36593
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36314
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
106404
137.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5575
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6252
230.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19352
716.7 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6373
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3362
57.9 IPS |
