Qualcomm catfish_arm64_ref_qualcomm_qcs8550
Geekbench AI Score
495
Single Precision Score
16539
Half Precision Score
37335
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 10:50 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
12736
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
32139
6.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
7842
127.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21870
355.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
71825
83.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
294969
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
12178
966.0 IPS |
|
|
Object Detection (Q)
|
86% |
13823
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
719
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
25619
304.4 IPS |
|
|
Face Detection (Q)
|
97% |
89319
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
45135
347.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
82102
768.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1031
1.33 IPS |
|
|
Style Transfer (HP)
|
98% |
61198
78.9 IPS |
|
|
Style Transfer (Q)
|
98% |
294256
379.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32618
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82109
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
439
585.6 IPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1856
48.6 IPS |
