ASUS System Product Name
Geekbench AI Score
6650
Single Precision Score
6651
Half Precision Score
14642
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Majki77 |
| Upload Date | December 21 2025 12:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
4168
775.1 IPS |
|
|
Image Classification (HP)
|
100% |
4186
778.6 IPS |
|
|
Image Classification (Q)
|
100% |
10125
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4580
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4820
78.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11291
183.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11031
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33856
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3910
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
3904
309.6 IPS |
|
|
Object Detection (Q)
|
88% |
10915
874.9 IPS |
|
|
Face Detection (SP)
|
100% |
12731
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
12680
150.7 IPS |
|
|
Face Detection (Q)
|
100% |
25745
305.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11445
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11422
88.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29420
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28021
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28057
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
48370
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4537
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4532
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17402
644.5 IPS |
|
|
Text Classification (SP)
|
100% |
3390
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (Q)
|
92% |
5651
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2976
51.3 IPS |
