BIOSTAR Group X570GTA
Geekbench AI Score
3180
Single Precision Score
807
Half Precision Score
3396
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Robi758 |
| Upload Date | August 17 2024 03:11 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group X570GTA |
| Motherboard | BIOSTAR Group X570GTA |
| Power Plan | Hchstleistung |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1901
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (Q)
|
97% |
3468
647.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
2119
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4417
5.15 IPS |
|
|
Pose Estimation (Q)
|
87% |
11648
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
86% |
2141
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
96% |
4020
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6891
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1000
7.70 IPS |
|
|
Depth Estimation (Q)
|
76% |
6240
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13893
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10972
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
14979
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2657
98.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3240
120.0 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
692
924.3 IPS |
|
|
Text Classification (Q)
|
97% |
423
567.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2168
48.4 IPS |
