Qualcomm catfish_arm64_ref_qualcomm_qcs8550
Geekbench AI Score
494
Single Precision Score
498
Half Precision Score
924
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 09:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Qualcomm catfish_arm64_ref_qualcomm_qcs8550 |
| Model ID | Qualcomm catfish_arm64_ref_qualcomm_qcs8550 |
| Motherboard | |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.5 IPS |
|
|
Image Classification (Q)
|
99% |
554
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
740
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2029
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
87% |
555
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.61 IPS |
|
|
Face Detection (Q)
|
97% |
1519
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
647
4.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
652
5.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1241
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1028
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1029
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2428
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.5 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.3 IPS |
|
|
Text Classification (Q)
|
91% |
633
851.4 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
