iPhone 7 Plus
Geekbench ML Score
258
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 18 2025 02:58 AM |
| Views | 10 |
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% |
225
24.2 IPS |
|
|
Image Classification (F16)
|
100% |
227
24.3 IPS |
|
|
Image Classification (I8)
|
81% |
145
15.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
366
2.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
266
1.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
316
1.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
64
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
469
16.4 IPS |
|
|
Object Detection (F16)
|
100% |
440
15.4 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.30 IPS |
|
|
Face Detection (F32)
|
100% |
616
7.08 IPS |
|
|
Face Detection (F16)
|
100% |
631
7.25 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.20 IPS |
|
|
Text Classification (F32)
|
98% |
108
42.8 IPS |
|
|
Text Classification (F16)
|
98% |
110
43.6 IPS |
|
|
Machine Translation (F32)
|
100% |
329
50.8 IPS |
|
|
Machine Translation (F16)
|
100% |
332
51.1 IPS |
