ASUS System Product Name
Geekbench AI Score
5220
Single Precision Score
1747
Half Precision Score
8285
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 05 2025 11:08 AM |
| Views | 7 |
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. PRIME B660M-A D4 |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4350
808.9 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
7329
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4175
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10290
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5025
5.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
33429
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
86% |
7489
601.9 IPS |
|
|
Face Detection (SP)
|
100% |
9953
118.3 IPS |
|
|
Face Detection (HP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
11766
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11881
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2301
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18537
147.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23506
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12939
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22882
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5756
213.2 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1958
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3538
71.1 IPS |
