iPhone 7 Plus
Geekbench ML Score
398
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | FidanKazan |
| Upload Date | March 01 2025 11:03 AM |
| Views | 6 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
258
27.6 IPS |
|
|
Image Classification (F16)
|
100% |
215
23.0 IPS |
|
|
Image Classification (I8)
|
81% |
319
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
626
3.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
639
3.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
587
3.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
441
1.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
444
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
393
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
627
22.0 IPS |
|
|
Object Detection (I8)
|
52% |
459
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
721
8.28 IPS |
|
|
Face Detection (F16)
|
100% |
786
9.03 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.80 IPS |
|
|
Text Classification (F32)
|
98% |
154
60.8 IPS |
|
|
Text Classification (F16)
|
98% |
136
53.8 IPS |
|
|
Machine Translation (F32)
|
100% |
680
104.8 IPS |
|
|
Machine Translation (F16)
|
100% |
684
105.5 IPS |
