iPhone 7 Plus
Geekbench ML Score
317
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 30 2025 06:58 PM |
| Views | 1 |
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% |
257
27.6 IPS |
|
|
Image Classification (F16)
|
100% |
251
26.8 IPS |
|
|
Image Classification (I8)
|
81% |
429
46.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
410
2.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
2.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
734
4.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
120
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
316
11.1 IPS |
|
|
Object Detection (F16)
|
100% |
314
11.0 IPS |
|
|
Object Detection (I8)
|
52% |
445
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
388
4.46 IPS |
|
|
Face Detection (F16)
|
100% |
380
4.37 IPS |
|
|
Face Detection (I8)
|
75% |
401
4.60 IPS |
|
|
Text Classification (F32)
|
100% |
368
145.6 IPS |
|
|
Text Classification (F16)
|
100% |
370
146.3 IPS |
|
|
Machine Translation (F32)
|
100% |
359
55.3 IPS |
|
|
Machine Translation (F16)
|
100% |
406
62.6 IPS |
