iPhone 7
Geekbench ML Score
302
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 27 2025 03:08 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| 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 | 1.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
271
29.0 IPS |
|
|
Image Classification (F16)
|
100% |
297
31.9 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
584
3.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
312
1.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
442
1.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
55
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
501
17.6 IPS |
|
|
Object Detection (F16)
|
100% |
509
17.9 IPS |
|
|
Object Detection (I8)
|
52% |
204
7.16 IPS |
|
|
Face Detection (F32)
|
100% |
891
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
812
9.33 IPS |
|
|
Face Detection (I8)
|
75% |
185
2.13 IPS |
|
|
Text Classification (F32)
|
98% |
102
40.4 IPS |
|
|
Text Classification (F16)
|
98% |
102
40.2 IPS |
|
|
Machine Translation (F32)
|
100% |
262
40.4 IPS |
|
|
Machine Translation (F16)
|
100% |
239
36.8 IPS |
