ASUS System Product Name
Geekbench AI Score
5554
Single Precision Score
1856
Half Precision Score
8936
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 30 2025 06:01 PM |
| Views | 21 |
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% |
4449
827.3 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
99% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4413
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9750
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4919
5.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
31627
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
4026
319.3 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
86% |
8021
644.6 IPS |
|
|
Face Detection (SP)
|
100% |
11867
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
12475
148.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13077
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2491
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19049
152.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22117
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12166
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32245
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5991
221.8 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2044
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4168
83.7 IPS |
