Qualcomm Snapdragon 680 (Adreno 610(128ALUs)) QUALCOMM FiiO JM21
Geekbench AI Score
148
Single Precision Score
242
Half Precision Score
220
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:51 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | QUALCOMM FiiO JM21 |
| Model ID | QUALCOMM FiiO JM21 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
819
0.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
807
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
88
6.94 IPS |
|
|
Object Detection (HP)
|
99% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
85% |
141
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
546
6.48 IPS |
|
|
Face Detection (Q)
|
97% |
491
5.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
98% |
484
3.74 IPS |
|
|
Depth Estimation (Q)
|
63% |
396
3.66 IPS |
|
|
Style Transfer (SP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1172
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1140
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
183
6.77 IPS |
|
|
Text Classification (SP)
|
35% |
6
63.2 IPS |
|
|
Text Classification (HP)
|
35% |
11
98.7 IPS |
|
|
Text Classification (Q)
|
35% |
11
95.9 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (HP)
|
97% |
195
3.37 IPS |
|
|
Machine Translation (Q)
|
64% |
139
2.87 IPS |
