ASUS System Product Name
Geekbench AI Score
6573
Single Precision Score
2054
Half Precision Score
10897
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Majki77 |
| Upload Date | December 14 2025 09:38 PM |
| Views | 6 |
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% |
5474
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
730
135.7 IPS |
|
|
Image Classification (Q)
|
99% |
8070
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12810
208.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13107
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5504
6.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
40019
46.9 IPS |
|
|
Object Detection (SP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (HP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (Q)
|
86% |
9085
730.1 IPS |
|
|
Face Detection (SP)
|
100% |
16139
191.8 IPS |
|
|
Face Detection (HP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
13970
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15215
117.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2509
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
23229
185.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29160
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13579
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36673
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4664
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7301
270.3 IPS |
|
|
Text Classification (SP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4294
86.3 IPS |
