iPhone 7 Plus
Geekbench ML Score
337
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 27 2025 01:34 PM |
| Views | 9 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
227
24.4 IPS |
|
|
Image Classification (F16)
|
100% |
229
24.6 IPS |
|
|
Image Classification (I8)
|
81% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
619
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
613
3.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
490
3.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
421
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
435
1.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
476
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
530
18.6 IPS |
|
|
Object Detection (I8)
|
52% |
352
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
741
8.51 IPS |
|
|
Face Detection (F16)
|
100% |
695
7.98 IPS |
|
|
Face Detection (I8)
|
75% |
283
3.25 IPS |
|
|
Text Classification (F32)
|
98% |
87
34.6 IPS |
|
|
Text Classification (F16)
|
98% |
102
40.2 IPS |
|
|
Machine Translation (F32)
|
100% |
436
67.2 IPS |
|
|
Machine Translation (F16)
|
100% |
437
67.3 IPS |
