ASUS System Product Name
Geekbench AI Score
7776
Single Precision Score
7672
Half Precision Score
16421
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 12 2026 11:45 AM |
| Views | 9 |
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 |
| 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% |
4412
820.5 IPS |
|
|
Image Classification (HP)
|
100% |
4392
816.7 IPS |
|
|
Image Classification (Q)
|
100% |
11541
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6642
107.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6669
108.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12700
205.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13370
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13395
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
37721
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
3895
308.9 IPS |
|
|
Object Detection (HP)
|
100% |
3751
297.5 IPS |
|
|
Object Detection (Q)
|
88% |
12402
994.2 IPS |
|
|
Face Detection (SP)
|
100% |
13769
163.6 IPS |
|
|
Face Detection (HP)
|
100% |
13687
162.6 IPS |
|
|
Face Detection (Q)
|
100% |
28795
342.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12754
98.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11848
91.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
33181
258.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35801
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35641
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53597
69.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18976
702.7 IPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6110
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3502
60.3 IPS |
