Qualcomm Snapdragon 680 (8Core(4*Kryo Gold,4*Kryo Silver)) QUALCOMM FiiO JM21
Geekbench AI Score
367
Single Precision Score
376
Half Precision Score
479
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:33 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
317
59.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
700
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
315
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
479
5.70 IPS |
|
|
Face Detection (Q)
|
95% |
731
8.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
743
6.81 IPS |
|
|
Style Transfer (SP)
|
89% |
1446
1.88 IPS |
|
|
Style Transfer (HP)
|
89% |
1457
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1934
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.3 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.9 IPS |
|
|
Text Classification (Q)
|
88% |
293
395.1 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
50% |
177
6.29 IPS |
