To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1292
Single Precision Score
1295
Half Precision Score
1087
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | rfoard |
| Upload Date | March 09 2025 07:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 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% |
1021
189.8 IPS |
|
|
Image Classification (HP)
|
100% |
1004
186.7 IPS |
|
|
Image Classification (Q)
|
99% |
740
138.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
846
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1774
2.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
2277
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
85% |
684
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
1502
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1505
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1496
11.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1439
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1995
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1995
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3917
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1109
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
526
706.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
58% |
481
11.3 IPS |
