ASUS System Product Name
Geekbench AI Score
3683
Single Precision Score
3669
Half Precision Score
8854
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | wolemacintosha |
| Upload Date | November 09 2024 10:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.5 IPS |
|
|
Image Classification (HP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (Q)
|
100% |
5608
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4908
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3763
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3935
4.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
18283
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (Q)
|
88% |
5457
437.4 IPS |
|
|
Face Detection (SP)
|
100% |
6357
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
5724
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
14878
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6336
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6440
49.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15188
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15166
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15265
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51114
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3021
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8543
316.4 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
3586
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3050
52.5 IPS |
