ASUS System Product Name
Geekbench AI Score
7606
Single Precision Score
7502
Half Precision Score
17423
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | April 06 2026 10:20 PM |
| Views | 3 |
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% |
4453
828.1 IPS |
|
|
Image Classification (HP)
|
100% |
4441
826.0 IPS |
|
|
Image Classification (Q)
|
100% |
11668
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6814
110.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6707
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12808
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13643
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13577
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
38275
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
4215
334.3 IPS |
|
|
Object Detection (HP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (Q)
|
88% |
12433
996.7 IPS |
|
|
Face Detection (SP)
|
100% |
13270
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
13151
156.3 IPS |
|
|
Face Detection (Q)
|
100% |
28951
344.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11491
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11645
89.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
33470
260.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36251
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36263
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
104477
134.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19521
722.9 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
6288
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2918
50.3 IPS |
