iPhone 7 Plus
Geekbench ML Score
629
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 27 2025 01:39 PM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
588
63.0 IPS |
|
|
Image Classification (F16)
|
100% |
594
63.7 IPS |
|
|
Image Classification (I8)
|
81% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1477
9.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
2291
14.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
474
2.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
590
2.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
1104
4.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
92
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
871
30.6 IPS |
|
|
Object Detection (F16)
|
100% |
1129
39.6 IPS |
|
|
Object Detection (I8)
|
52% |
336
11.8 IPS |
|
|
Face Detection (F32)
|
100% |
1353
15.5 IPS |
|
|
Face Detection (F16)
|
97% |
2374
27.3 IPS |
|
|
Face Detection (I8)
|
75% |
286
3.28 IPS |
|
|
Text Classification (F32)
|
100% |
412
162.9 IPS |
|
|
Text Classification (F16)
|
98% |
498
197.1 IPS |
|
|
Machine Translation (F32)
|
100% |
483
74.5 IPS |
|
|
Machine Translation (F16)
|
100% |
474
73.0 IPS |
