Qualcomm catfish_arm64_ref_qualcomm_qcs8550
Geekbench AI Score
492
Single Precision Score
490
Half Precision Score
914
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 02:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
301
56.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
99% |
551
102.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
2007
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
87% |
557
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (HP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (Q)
|
97% |
1494
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
621
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1205
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1004
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2393
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1166
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.1 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.1 IPS |
|
|
Text Classification (Q)
|
91% |
628
844.1 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
