ASUS System Product Name
Geekbench AI Score
5867
Single Precision Score
1745
Half Precision Score
10004
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Majki77 |
| Upload Date | December 21 2025 10:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5033
936.0 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
99% |
7344
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13614
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11659
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
37660
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
86% |
8435
677.9 IPS |
|
|
Face Detection (SP)
|
100% |
13435
159.6 IPS |
|
|
Face Detection (HP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
12737
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13219
101.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2318
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19815
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26076
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12024
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28496
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4000
80.4 IPS |
