ASUS System Product Name
Geekbench AI Score
1788
Single Precision Score
1854
Half Precision Score
4698
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 11:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B760-G GAMING WIFI |
| Power Plan | Desempenho Mximo |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
957
178.0 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (Q)
|
100% |
2869
533.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3632
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
6516
7.63 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (Q)
|
88% |
2831
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
6890
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2532
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2597
20.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7565
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5398
6.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5412
6.96 IPS |
|
|
Style Transfer (Q)
|
98% |
19493
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1095
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4639
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2747
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2106
36.3 IPS |
