joyar joyar_mid
Geekbench AI Score
226
Single Precision Score
219
Half Precision Score
406
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | joyar joyar_mid |
| Model ID | joyar joyar_mid |
| Motherboard | tb8786p1_64_k66 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
100% |
334
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
989
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.84 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (Q)
|
83% |
260
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
95% |
606
7.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
637
5.84 IPS |
|
|
Style Transfer (SP)
|
89% |
862
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
866
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2186
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
196
7.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
414
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.2 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.9 IPS |
|
|
Text Classification (Q)
|
88% |
133
179.6 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.95 IPS |
