ASUS All Series
Geekbench AI Score
1889
Single Precision Score
1878
Half Precision Score
2125
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 10 2024 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4460 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. B85M-G PLUS/USB 3.1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4460 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.3 IPS |
|
|
Image Classification (HP)
|
100% |
1174
218.3 IPS |
|
|
Image Classification (Q)
|
100% |
1319
245.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2457
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2460
2.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
2870
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (HP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
87% |
1329
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
3608
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3094
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3073
23.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
3475
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6972
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
7027
9.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8232
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1723
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
912
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1551
26.7 IPS |
