1-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
945
Single Precision Score
951
Half Precision Score
706
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | nakedlittlezombie |
| Upload Date | December 29 2024 05:51 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
109.4 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.2 IPS |
|
|
Image Classification (Q)
|
99% |
436
81.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
539
8.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1233
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1226
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
1287
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
85% |
454
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
1117
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1202
9.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
63% |
894
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
1800
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1802
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2569
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
709
946.2 IPS |
|
|
Text Classification (HP)
|
100% |
728
971.3 IPS |
|
|
Text Classification (Q)
|
92% |
350
469.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
58% |
371
8.72 IPS |
