iPhone 7 Plus
Geekbench ML Score
716
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 29 2024 03:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,2 |
| Motherboard | D11AP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
568
60.8 IPS |
|
|
Image Classification (F16)
|
100% |
587
62.9 IPS |
|
|
Image Classification (I8)
|
81% |
317
34.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1536
9.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
2564
15.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
584
3.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
640
2.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
1211
4.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
942
33.1 IPS |
|
|
Object Detection (F16)
|
100% |
1128
39.6 IPS |
|
|
Object Detection (I8)
|
52% |
455
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
1477
17.0 IPS |
|
|
Face Detection (F16)
|
97% |
2696
31.0 IPS |
|
|
Face Detection (I8)
|
75% |
405
4.65 IPS |
|
|
Text Classification (F32)
|
100% |
410
162.1 IPS |
|
|
Text Classification (F16)
|
98% |
546
216.0 IPS |
|
|
Machine Translation (F32)
|
100% |
667
102.7 IPS |
|
|
Machine Translation (F16)
|
100% |
660
101.8 IPS |
