ASUS System Product Name
Geekbench AI Score
5950
Single Precision Score
1886
Half Precision Score
10534
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cbs |
| Upload Date | January 05 2026 10:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4854
902.6 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.6 IPS |
|
|
Image Classification (Q)
|
99% |
7803
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13976
227.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10628
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5012
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
34885
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4636
367.7 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
8420
676.7 IPS |
|
|
Face Detection (SP)
|
100% |
13876
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
2057
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
12856
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13115
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
22123
176.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24126
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11930
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37019
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4020
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7091
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3962
79.6 IPS |
