5950x Linux TF-Lite ASUS System Product Name
Geekbench AI Score
2001
Single Precision Score
2036
Half Precision Score
1769
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | igormp |
| Upload Date | August 21 2024 03:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (Q)
|
99% |
1200
223.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1098
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2529
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
4272
5.01 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (Q)
|
86% |
1537
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
2621
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2251
17.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
2353
18.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
2393
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2724
3.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2860
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
6316
8.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1853
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (Q)
|
58% |
632
14.8 IPS |
