ASUS System Product Name
Geekbench AI Score
3159
Single Precision Score
3171
Half Precision Score
8176
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | kszycho |
| Upload Date | October 15 2024 07:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2158
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.3 IPS |
|
|
Image Classification (Q)
|
100% |
5272
980.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4120
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4071
4.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
15925
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (Q)
|
88% |
5480
439.3 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
12183
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5519
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5370
41.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13355
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12533
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12293
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46460
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9053
335.3 IPS |
|
|
Text Classification (SP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3507
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2937
50.6 IPS |
