ASUS System Product Name
Geekbench AI Score
7037
Single Precision Score
2053
Half Precision Score
12215
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 01 2026 08:36 PM |
| Views | 9 |
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 |
| 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% |
5999
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
99% |
8833
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16775
272.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13672
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5545
6.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
42388
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
5488
435.3 IPS |
|
|
Object Detection (HP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (Q)
|
86% |
9975
801.6 IPS |
|
|
Face Detection (SP)
|
100% |
17718
210.5 IPS |
|
|
Face Detection (HP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
14946
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16275
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2730
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
26678
212.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30851
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13655
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
45442
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7691
284.8 IPS |
|
|
Text Classification (SP)
|
100% |
1982
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4473
89.9 IPS |
