AMD Ryzen 7 3700X with RTX 3060 To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1234
Single Precision Score
1271
Half Precision Score
1042
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | rfoard |
| Upload Date | August 31 2024 04:04 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock X570 Phantom Gaming 4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
967
179.9 IPS |
|
|
Image Classification (HP)
|
100% |
1023
190.2 IPS |
|
|
Image Classification (Q)
|
99% |
518
96.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
839
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1745
2.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
1906
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.1 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
691
55.6 IPS |
|
|
Face Detection (SP)
|
100% |
1526
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1495
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
1658
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1934
2.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1903
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3841
4.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1014
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1110
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
525
705.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
58% |
476
11.2 IPS |
