ASUS System Product Name
Geekbench AI Score
7740
Single Precision Score
7587
Half Precision Score
17558
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 24 2026 03:57 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% |
4473
831.8 IPS |
|
|
Image Classification (HP)
|
100% |
4440
825.8 IPS |
|
|
Image Classification (Q)
|
100% |
11096
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6111
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6772
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12657
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13668
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13670
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
38412
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
4229
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
4128
327.4 IPS |
|
|
Object Detection (Q)
|
88% |
12464
999.1 IPS |
|
|
Face Detection (SP)
|
100% |
13975
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
14000
166.4 IPS |
|
|
Face Detection (Q)
|
100% |
28391
337.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13021
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11705
90.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
33388
259.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36390
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36232
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
104991
135.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5619
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19204
711.2 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
6267
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3759
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3459
59.6 IPS |
