ASUS System Product Name
Geekbench AI Score
7283
Single Precision Score
2247
Half Precision Score
10025
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 12:27 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5896
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
928
172.6 IPS |
|
|
Image Classification (Q)
|
99% |
8897
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11836
192.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14427
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5804
6.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
44967
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
5788
459.1 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
86% |
9127
733.5 IPS |
|
|
Face Detection (SP)
|
100% |
17486
207.8 IPS |
|
|
Face Detection (HP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
14749
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16776
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2750
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21629
172.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33740
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14484
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39957
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6563
243.0 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
685
917.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4143
83.2 IPS |
