pc onnx direct ML ASUS System Product Name
Geekbench AI Score
16953
Single Precision Score
27541
Half Precision Score
11525
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | granthussey |
| Upload Date | December 21 2024 03:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7174
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10943
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
5351
995.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10368
168.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14588
236.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8500
138.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
100649
117.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
267195
311.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
80960
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
8537
677.2 IPS |
|
|
Object Detection (HP)
|
100% |
13952
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
6497
523.0 IPS |
|
|
Face Detection (SP)
|
100% |
20332
241.6 IPS |
|
|
Face Detection (HP)
|
100% |
30956
367.8 IPS |
|
|
Face Detection (Q)
|
97% |
15991
190.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42012
323.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81787
630.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
28564
228.6 IPS |
|
|
Style Transfer (SP)
|
100% |
162126
208.4 IPS |
|
|
Style Transfer (HP)
|
100% |
393749
506.2 IPS |
|
|
Style Transfer (Q)
|
98% |
126320
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29109
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39752
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17008
629.8 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3176
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3305
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1391
26.1 IPS |
