ASUS System Product Name
Geekbench AI Score
3286
Single Precision Score
1365
Half Precision Score
5056
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zyyads |
| Upload Date | June 25 2025 12:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2492
463.5 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
4906
915.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2289
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5045
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3713
4.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
18279
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
5013
402.9 IPS |
|
|
Face Detection (SP)
|
100% |
6469
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
7698
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1898
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12871
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12619
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8934
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21063
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
684
912.6 IPS |
|
|
Text Classification (Q)
|
97% |
491
658.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2776
55.8 IPS |
