ASUS System Product Name
Geekbench AI Score
2268
Single Precision Score
1166
Half Precision Score
4202
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AAAlsaedi |
| Upload Date | April 09 2025 01:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660-PLUS D4 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
99% |
5054
942.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3202
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2807
3.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
13953
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
4255
342.0 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
6406
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4529
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10734
85.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8242
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6757
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
13100
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3248
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.9 IPS |
|
|
Text Classification (Q)
|
97% |
456
611.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2311
46.4 IPS |
