ASUS System Product Name
Geekbench AI Score
2410
Single Precision Score
1234
Half Precision Score
4509
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 10:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
4665
870.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2066
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3162
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2748
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
14276
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
86% |
4081
328.0 IPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
6662
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4298
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1722
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11583
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8087
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6732
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
17853
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3489
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.9 IPS |
|
|
Text Classification (Q)
|
97% |
499
668.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2585
51.9 IPS |
