ASUS System Product Name
Geekbench AI Score
7709
Single Precision Score
7662
Half Precision Score
16362
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | April 06 2026 10:30 PM |
| Views | 6 |
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% |
4488
834.5 IPS |
|
|
Image Classification (HP)
|
100% |
4440
825.7 IPS |
|
|
Image Classification (Q)
|
100% |
11657
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6219
100.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6238
101.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12756
206.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13626
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13701
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
38257
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (HP)
|
100% |
4242
336.5 IPS |
|
|
Object Detection (Q)
|
88% |
12499
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
13905
165.2 IPS |
|
|
Face Detection (HP)
|
100% |
13927
165.5 IPS |
|
|
Face Detection (Q)
|
100% |
28927
343.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12925
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12884
99.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
33503
260.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36147
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37100
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
54873
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6168
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6186
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19571
724.8 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
92% |
6356
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2925
50.4 IPS |
