ASUS System Product Name
Geekbench AI Score
7155
Single Precision Score
7308
Half Precision Score
15915
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4584
852.5 IPS |
|
|
Image Classification (HP)
|
100% |
4432
824.3 IPS |
|
|
Image Classification (Q)
|
100% |
9976
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5861
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6058
98.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11248
182.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9160
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33615
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
4208
333.8 IPS |
|
|
Object Detection (HP)
|
100% |
4228
335.4 IPS |
|
|
Object Detection (Q)
|
88% |
10834
868.5 IPS |
|
|
Face Detection (SP)
|
100% |
8647
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
11147
132.5 IPS |
|
|
Face Detection (Q)
|
100% |
20796
247.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11280
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11392
87.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28014
217.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27108
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27108
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
91541
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5658
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17008
629.9 IPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
5680
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5646
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5332
91.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4954
85.3 IPS |
