ASUS System Product Name
Geekbench AI Score
5368
Single Precision Score
2049
Half Precision Score
6903
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 24 2025 11:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3939
732.6 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.5 IPS |
|
|
Image Classification (Q)
|
99% |
7397
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3841
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8836
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4911
5.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
30895
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
4074
323.2 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
86% |
7283
585.3 IPS |
|
|
Face Detection (SP)
|
100% |
11259
133.8 IPS |
|
|
Face Detection (HP)
|
100% |
2483
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
12006
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11302
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2351
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20244
161.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22004
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12340
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27365
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2607
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4269
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
386
517.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2917
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3511
70.5 IPS |
