OnePlus 8
Geekbench AI Score
63
Single Precision Score
63
Half Precision Score
372
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 01:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 8 |
| Model ID | OnePlus IN2013 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
35
6.54 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.61 IPS |
|
|
Image Classification (Q)
|
96% |
1313
245.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
45
0.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1251
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
72
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
72
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
13285
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
36
2.86 IPS |
|
|
Object Detection (HP)
|
100% |
36
2.88 IPS |
|
|
Object Detection (Q)
|
84% |
1287
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
83
0.99 IPS |
|
|
Face Detection (HP)
|
100% |
85
1.00 IPS |
|
|
Face Detection (Q)
|
97% |
2084
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
83
0.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
84
0.64 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
152
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
152
0.20 IPS |
|
|
Style Transfer (Q)
|
98% |
18661
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44
1.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44
1.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
160
5.94 IPS |
|
|
Text Classification (SP)
|
100% |
57
75.6 IPS |
|
|
Text Classification (HP)
|
100% |
57
76.6 IPS |
|
|
Text Classification (Q)
|
93% |
291
390.7 IPS |
|
|
Machine Translation (SP)
|
100% |
95
1.63 IPS |
|
|
Machine Translation (HP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.09 IPS |
