ASUS System Product Name
Geekbench AI Score
2231
Single Precision Score
1258
Half Precision Score
3428
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | wolemacintosha |
| Upload Date | November 09 2024 10:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
2965
553.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1852
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3549
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3247
3.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
12585
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
88% |
1651
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
3820
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3746
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6731
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7670
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8066
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17866
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3570
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.3 IPS |
|
|
Text Classification (Q)
|
97% |
536
717.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2235
49.8 IPS |
