Realme GT Neo2
Geekbench AI Score
911
Single Precision Score
939
Half Precision Score
1745
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 08:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Realme GT Neo2 |
| Model ID | realme RMX3370 |
| 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
100% |
1295
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1410
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1860
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3096
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
83% |
1137
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2885
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1704
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2895
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3591
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3550
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7359
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1763
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
479
638.8 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.7 IPS |
|
|
Text Classification (Q)
|
88% |
790
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
