Qualcomm catfish_arm64_ref_qualcomm_qcs8550
Geekbench AI Score
500
Single Precision Score
16592
Half Precision Score
37443
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 01:42 PM |
| Views | 2 |
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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
12820
2.38 KIPS |
|
|
Image Classification (Q)
|
97% |
32287
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
7949
128.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21959
357.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
71322
83.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
294737
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
12171
965.4 IPS |
|
|
Object Detection (Q)
|
86% |
13869
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
729
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
25499
303.0 IPS |
|
|
Face Detection (Q)
|
97% |
89855
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
45153
347.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
82164
769.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1035
1.33 IPS |
|
|
Style Transfer (HP)
|
98% |
61224
78.9 IPS |
|
|
Style Transfer (Q)
|
98% |
294979
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
345
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32558
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82276
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
442
589.8 IPS |
|
|
Text Classification (HP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1856
48.6 IPS |
