ASUS System Product Name
Geekbench AI Score
2551
Single Precision Score
1229
Half Precision Score
4927
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 02:02 PM |
| Views | 3 |
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. TUF GAMING B660M-E D4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2454
456.4 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
5117
954.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2656
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3941
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
14741
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
4290
344.8 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
5543
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4350
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1638
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11543
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8608
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6861
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
14182
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3154
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.6 IPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2337
47.0 IPS |
