5950x Linux ONNX ASUS System Product Name
Geekbench AI Score
3120
Single Precision Score
747
Half Precision Score
3951
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | igormp |
| Upload Date | August 21 2024 03:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B550-CREATOR |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
150
28.0 IPS |
|
|
Image Classification (Q)
|
94% |
2766
516.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
2512
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10095
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5188
6.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
18749
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
86% |
1622
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
96% |
4133
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
938
7.22 IPS |
|
|
Depth Estimation (Q)
|
76% |
7276
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16447
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12751
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
15890
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2907
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (Q)
|
97% |
1308
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
60% |
2420
54.0 IPS |
