ASUS System Product Name
Geekbench AI Score
17452
Single Precision Score
30074
Half Precision Score
10979
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 11:53 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% |
6983
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
12647
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
5251
976.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11261
182.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16549
268.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8812
143.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91666
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
259536
302.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
69232
81.1 IPS |
|
|
Object Detection (SP)
|
100% |
8997
713.7 IPS |
|
|
Object Detection (HP)
|
100% |
15764
1.25 KIPS |
|
|
Object Detection (Q)
|
85% |
6612
532.3 IPS |
|
|
Face Detection (SP)
|
100% |
20826
247.5 IPS |
|
|
Face Detection (HP)
|
100% |
33461
397.6 IPS |
|
|
Face Detection (Q)
|
97% |
14191
169.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39332
303.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
80291
618.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27013
216.2 IPS |
|
|
Style Transfer (SP)
|
100% |
159763
205.4 IPS |
|
|
Style Transfer (HP)
|
100% |
401596
516.3 IPS |
|
|
Style Transfer (Q)
|
98% |
123761
159.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30376
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42210
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17264
639.3 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1234
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1189
22.3 IPS |
