iPhone 7
Geekbench ML Score
427
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:49 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| 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% |
365
39.1 IPS |
|
|
Image Classification (F16)
|
100% |
387
41.4 IPS |
|
|
Image Classification (I8)
|
81% |
308
33.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
584
3.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
553
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
441
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
111
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
640
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
619
21.7 IPS |
|
|
Object Detection (I8)
|
52% |
450
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
925
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
724
8.31 IPS |
|
|
Face Detection (I8)
|
75% |
410
4.71 IPS |
|
|
Text Classification (F32)
|
98% |
143
56.6 IPS |
|
|
Text Classification (F16)
|
98% |
163
64.6 IPS |
|
|
Machine Translation (F32)
|
100% |
670
103.3 IPS |
|
|
Machine Translation (F16)
|
100% |
663
102.2 IPS |
