iPhone 7 Plus
Geekbench ML Score
397
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 29 2026 12:34 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.7 |
| 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% |
234
25.0 IPS |
|
|
Image Classification (F16)
|
100% |
233
25.0 IPS |
|
|
Image Classification (I8)
|
81% |
314
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
3.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
610
3.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
580
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
123
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
515
18.1 IPS |
|
|
Object Detection (F16)
|
100% |
588
20.6 IPS |
|
|
Object Detection (I8)
|
52% |
451
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
723
8.30 IPS |
|
|
Face Detection (F16)
|
100% |
778
8.94 IPS |
|
|
Face Detection (I8)
|
75% |
414
4.76 IPS |
|
|
Text Classification (F32)
|
98% |
168
66.5 IPS |
|
|
Text Classification (F16)
|
98% |
132
52.3 IPS |
|
|
Machine Translation (F32)
|
100% |
609
93.8 IPS |
|
|
Machine Translation (F16)
|
100% |
655
100.9 IPS |
