iPhone 7 Plus
Geekbench ML Score
394
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 05 2024 11:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8 |
| 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% |
276
29.5 IPS |
|
|
Image Classification (F16)
|
100% |
244
26.1 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
3.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
648
4.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
589
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
436
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
441
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
385
13.5 IPS |
|
|
Object Detection (F16)
|
100% |
667
23.4 IPS |
|
|
Object Detection (I8)
|
52% |
458
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
608
6.98 IPS |
|
|
Face Detection (F16)
|
100% |
654
7.51 IPS |
|
|
Face Detection (I8)
|
75% |
415
4.77 IPS |
|
|
Text Classification (F32)
|
98% |
146
57.8 IPS |
|
|
Text Classification (F16)
|
98% |
136
53.9 IPS |
|
|
Machine Translation (F32)
|
100% |
676
104.1 IPS |
|
|
Machine Translation (F16)
|
100% |
683
105.2 IPS |
