ASUS System Product Name
Geekbench AI Score
13621
Single Precision Score
22884
Half Precision Score
9125
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 17 2024 08:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5798
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9449
1.76 KIPS |
|
|
Image Classification (Q)
|
100% |
4188
778.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8963
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13247
214.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7291
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
69936
81.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
179017
208.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
58067
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
6681
530.0 IPS |
|
|
Object Detection (HP)
|
100% |
11673
925.9 IPS |
|
|
Object Detection (Q)
|
89% |
5106
408.7 IPS |
|
|
Face Detection (SP)
|
100% |
15082
179.2 IPS |
|
|
Face Detection (HP)
|
100% |
23498
279.2 IPS |
|
|
Face Detection (Q)
|
97% |
11440
136.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31627
243.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62763
483.6 IPS |
|
|
Depth Estimation (Q)
|
71% |
21204
176.2 IPS |
|
|
Style Transfer (SP)
|
100% |
117662
151.3 IPS |
|
|
Style Transfer (HP)
|
100% |
291901
375.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94698
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21414
790.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34964
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13499
499.8 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
3151
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1139
25.4 IPS |
