iPhone 7 Plus
Geekbench ML Score
403
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 30 2025 06:11 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,2 |
| Motherboard | D11AP |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
280
30.0 IPS |
|
|
Image Classification (F16)
|
100% |
297
31.8 IPS |
|
|
Image Classification (I8)
|
81% |
516
55.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
515
3.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
530
3.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
875
5.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
142
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
200
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
430
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
400
14.1 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
491
5.64 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.46 IPS |
|
|
Face Detection (I8)
|
75% |
553
6.35 IPS |
|
|
Text Classification (F32)
|
100% |
447
176.7 IPS |
|
|
Text Classification (F16)
|
100% |
457
180.7 IPS |
|
|
Machine Translation (F32)
|
100% |
507
78.1 IPS |
|
|
Machine Translation (F16)
|
100% |
547
84.2 IPS |
