rockchip rk3588_s
Geekbench AI Score
438
Single Precision Score
543
Half Precision Score
527
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 10:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | rockchip rk3588_s |
| Model ID | rockchip rk3588_s |
| Motherboard | rk30sdk |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Cluster 3 | 2 Cores @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
493
92.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
450
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
395
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
1220
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
746
5.75 IPS |
|
|
Depth Estimation (Q)
|
62% |
603
5.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1534
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1834
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
1827
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.6 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.2 IPS |
|
|
Text Classification (Q)
|
91% |
272
365.5 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
57% |
203
4.96 IPS |
