ASUS System Product Name
Geekbench AI Score
6991
Single Precision Score
2119
Half Precision Score
12180
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 18 2026 11:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
5755
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
724
134.6 IPS |
|
|
Image Classification (Q)
|
99% |
8825
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16742
272.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13736
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5818
6.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
41589
48.8 IPS |
|
|
Object Detection (SP)
|
100% |
5654
448.4 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
9636
774.5 IPS |
|
|
Face Detection (SP)
|
100% |
17359
206.3 IPS |
|
|
Face Detection (HP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
14949
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16415
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2728
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
26419
210.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31611
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14005
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45118
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7788
288.4 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4730
95.0 IPS |
