ASUS System Product Name
Geekbench AI Score
18305
Single Precision Score
30771
Half Precision Score
11612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660-PLUS D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7968
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12849
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
5787
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11249
182.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16679
270.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9029
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
103893
121.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
273510
319.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
81099
95.0 IPS |
|
|
Object Detection (SP)
|
100% |
9303
737.9 IPS |
|
|
Object Detection (HP)
|
100% |
16070
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
7015
564.7 IPS |
|
|
Face Detection (SP)
|
100% |
21439
254.7 IPS |
|
|
Face Detection (HP)
|
100% |
33405
396.9 IPS |
|
|
Face Detection (Q)
|
97% |
16732
199.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43235
333.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85831
661.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28880
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
163751
210.5 IPS |
|
|
Style Transfer (HP)
|
100% |
409517
526.4 IPS |
|
|
Style Transfer (Q)
|
98% |
122165
157.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30558
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42974
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17025
630.4 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1244
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1200
22.5 IPS |
