iPhone 7
Geekbench ML Score
415
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 05 2026 02:08 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| Model | iPhone 7 |
| Model ID | iPhone9,1 |
| Motherboard | D10AP |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
280
30.0 IPS |
|
|
Image Classification (F16)
|
100% |
277
29.7 IPS |
|
|
Image Classification (I8)
|
81% |
519
55.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
482
2.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
509
3.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
850
5.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
182
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
393
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
417
14.6 IPS |
|
|
Object Detection (I8)
|
52% |
648
22.8 IPS |
|
|
Face Detection (F32)
|
100% |
556
6.39 IPS |
|
|
Face Detection (F16)
|
100% |
532
6.11 IPS |
|
|
Face Detection (I8)
|
75% |
565
6.49 IPS |
|
|
Text Classification (F32)
|
100% |
554
219.1 IPS |
|
|
Text Classification (F16)
|
100% |
567
224.4 IPS |
|
|
Machine Translation (F32)
|
100% |
553
85.2 IPS |
|
|
Machine Translation (F16)
|
100% |
574
88.4 IPS |
