ASUS System Product Name
Geekbench AI Score
4992
Single Precision Score
1786
Half Precision Score
6702
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tar1na |
| Upload Date | December 04 2024 07:51 AM |
| Views | 2 |
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. ProArt Z690-CREATOR WIFI |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4025
748.5 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
99% |
7027
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3354
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8802
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5159
6.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
29611
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
3511
278.5 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
6274
504.2 IPS |
|
|
Face Detection (SP)
|
100% |
9637
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
10251
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11254
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17132
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21245
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12609
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26369
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5049
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
1895
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
583
781.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3066
61.6 IPS |
