ASUS System Product Name
Geekbench AI Score
7684
Single Precision Score
7566
Half Precision Score
16607
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 21 2026 10:15 PM |
| Views | 8 |
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% |
4460
829.4 IPS |
|
|
Image Classification (HP)
|
100% |
4439
825.5 IPS |
|
|
Image Classification (Q)
|
100% |
11544
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6815
110.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12739
206.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13517
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13100
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
38038
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
3994
316.8 IPS |
|
|
Object Detection (HP)
|
100% |
3812
302.3 IPS |
|
|
Object Detection (Q)
|
88% |
12372
991.7 IPS |
|
|
Face Detection (SP)
|
100% |
12875
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
13962
165.9 IPS |
|
|
Face Detection (Q)
|
100% |
28655
340.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11484
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11337
87.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
33004
256.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35288
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35255
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
57518
74.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19417
719.1 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
6232
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4141
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3504
60.4 IPS |
