ASUS System Product Name
Geekbench AI Score
6044
Single Precision Score
1834
Half Precision Score
9870
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | B007Cyber |
| Upload Date | August 10 2025 11:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4837
899.6 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
99% |
7688
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13345
217.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11953
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5174
6.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
36301
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4664
369.9 IPS |
|
|
Object Detection (HP)
|
100% |
824
65.3 IPS |
|
|
Object Detection (Q)
|
86% |
8065
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
14299
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
12673
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13674
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2444
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19561
156.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26825
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12658
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28382
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6720
248.8 IPS |
|
|
Text Classification (SP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3848
77.3 IPS |
