Qualcomm catfish_arm64_ref_qualcomm_qcs8550
Geekbench AI Score
498
Single Precision Score
16591
Half Precision Score
37415
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 10:58 AM |
| 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% |
12778
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32192
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
7956
129.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21986
357.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
71613
83.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
295334
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
12198
967.5 IPS |
|
|
Object Detection (Q)
|
86% |
13817
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
25552
303.6 IPS |
|
|
Face Detection (Q)
|
97% |
89641
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
660
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
45105
347.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
82174
769.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1032
1.33 IPS |
|
|
Style Transfer (HP)
|
98% |
61201
78.9 IPS |
|
|
Style Transfer (Q)
|
98% |
294343
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32583
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82059
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
440
587.8 IPS |
|
|
Text Classification (HP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3077
53.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1864
48.8 IPS |
