ASUS System Product Name
Geekbench AI Score
5503
Single Precision Score
1859
Half Precision Score
8794
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 29 2025 02:57 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| 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 i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4349
808.9 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
99% |
7513
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4389
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10319
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4961
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
32665
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
4044
320.8 IPS |
|
|
Object Detection (HP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
7876
633.0 IPS |
|
|
Face Detection (SP)
|
100% |
11120
132.1 IPS |
|
|
Face Detection (HP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
12444
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12666
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2457
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19251
153.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22486
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12038
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31104
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2329
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5505
203.9 IPS |
|
|
Text Classification (SP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1927
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4128
82.9 IPS |
