5950x Linux OpenVINO ASUS System Product Name
Geekbench AI Score
6260
Single Precision Score
6273
Half Precision Score
10353
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | igormp |
| Upload Date | August 21 2024 03:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4280
796.0 IPS |
|
|
Image Classification (HP)
|
100% |
3902
725.6 IPS |
|
|
Image Classification (Q)
|
100% |
6906
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4781
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11280
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11479
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
24512
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4446
352.6 IPS |
|
|
Object Detection (HP)
|
100% |
4468
354.4 IPS |
|
|
Object Detection (Q)
|
87% |
7503
601.8 IPS |
|
|
Face Detection (SP)
|
100% |
11014
130.9 IPS |
|
|
Face Detection (HP)
|
100% |
10986
130.5 IPS |
|
|
Face Detection (Q)
|
97% |
22973
273.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12033
92.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
11976
92.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
23312
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32526
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32520
41.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70249
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6352
234.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6335
233.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12342
457.2 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (Q)
|
91% |
1481
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (Q)
|
90% |
3390
58.9 IPS |
