ASUS System Product Name
Geekbench AI Score
4267
Single Precision Score
1627
Half Precision Score
7167
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dimgod728 |
| Upload Date | December 31 2024 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3086
574.0 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.1 IPS |
|
|
Image Classification (Q)
|
99% |
5990
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3630
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7615
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4391
5.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
23701
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2997
237.8 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
6092
489.6 IPS |
|
|
Face Detection (SP)
|
100% |
8605
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
1809
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
9749
116.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9167
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2191
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15738
125.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17378
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11128
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23461
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3092
114.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4883
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3309
66.5 IPS |
