ASUS System Product Name
Geekbench AI Score
6985
Single Precision Score
2111
Half Precision Score
12157
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 19 2026 12:02 AM |
| Views | 8 |
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% |
5797
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
750
139.6 IPS |
|
|
Image Classification (Q)
|
99% |
8799
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16935
275.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13688
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5815
6.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
42384
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
5620
445.8 IPS |
|
|
Object Detection (HP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (Q)
|
86% |
9779
785.9 IPS |
|
|
Face Detection (SP)
|
100% |
16949
201.4 IPS |
|
|
Face Detection (HP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
14965
178.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16404
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2828
21.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25245
201.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31385
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14086
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
44899
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7838
290.2 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4633
93.1 IPS |
