iPhone 7 Plus
Geekbench ML Score
701
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 15 2024 06:39 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,4 |
| Motherboard | D111AP |
| 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% |
566
60.7 IPS |
|
|
Image Classification (F16)
|
100% |
581
62.3 IPS |
|
|
Image Classification (I8)
|
81% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1536
9.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
2548
15.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
564
3.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
639
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
1212
4.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
119
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
940
33.0 IPS |
|
|
Object Detection (F16)
|
100% |
1208
42.4 IPS |
|
|
Object Detection (I8)
|
52% |
437
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
1481
17.0 IPS |
|
|
Face Detection (F16)
|
97% |
2700
31.0 IPS |
|
|
Face Detection (I8)
|
75% |
372
4.27 IPS |
|
|
Text Classification (F32)
|
100% |
405
160.1 IPS |
|
|
Text Classification (F16)
|
98% |
544
215.3 IPS |
|
|
Machine Translation (F32)
|
100% |
600
92.4 IPS |
|
|
Machine Translation (F16)
|
100% |
573
88.3 IPS |
