iPhone 7 Plus
Geekbench ML Score
385
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | Shayan_Q9 |
| Upload Date | September 18 2025 03:31 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| 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% |
231
24.7 IPS |
|
|
Image Classification (F16)
|
100% |
245
26.3 IPS |
|
|
Image Classification (I8)
|
81% |
315
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
608
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
609
3.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
580
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
445
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
443
1.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
110
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
514
18.0 IPS |
|
|
Object Detection (F16)
|
100% |
523
18.3 IPS |
|
|
Object Detection (I8)
|
52% |
450
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
614
7.06 IPS |
|
|
Face Detection (F16)
|
100% |
682
7.84 IPS |
|
|
Face Detection (I8)
|
75% |
411
4.73 IPS |
|
|
Text Classification (F32)
|
98% |
147
58.2 IPS |
|
|
Text Classification (F16)
|
98% |
129
51.0 IPS |
|
|
Machine Translation (F32)
|
100% |
651
100.3 IPS |
|
|
Machine Translation (F16)
|
100% |
651
100.3 IPS |
