2-Linux lain 6.12.7-273-tkg-pds #1 SMP PREEMPT_DYNAMIC TKG Sun, 29 Dec 2024 01:19:33 +0000 x86_64 GNU/Linux System manufacturer System Product Name
Geekbench AI Score
943
Single Precision Score
945
Half Precision Score
702
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | nakedlittlezombie |
| Upload Date | December 29 2024 05:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 2600X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
588
109.3 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
99% |
434
80.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
1227
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
1286
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
85% |
452
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1092
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
1205
9.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
894
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
1795
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1797
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2568
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
721
961.9 IPS |
|
|
Text Classification (HP)
|
100% |
719
960.0 IPS |
|
|
Text Classification (Q)
|
92% |
350
470.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
58% |
369
8.66 IPS |
