iPhone 7 Plus
Geekbench ML Score
374
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | Shayan_Q9 |
| Upload Date | September 18 2025 12:03 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPhone 7 Plus |
| Model ID | iPhone9,4 |
| Motherboard | D111AP |
| 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% |
242
26.0 IPS |
|
|
Image Classification (F16)
|
100% |
228
24.4 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
644
3.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
637
3.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
584
3.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
443
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
438
1.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
112
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
522
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
656
23.0 IPS |
|
|
Object Detection (I8)
|
52% |
389
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
749
8.61 IPS |
|
|
Face Detection (F16)
|
100% |
736
8.46 IPS |
|
|
Face Detection (I8)
|
75% |
307
3.53 IPS |
|
|
Text Classification (F32)
|
98% |
133
52.7 IPS |
|
|
Text Classification (F16)
|
98% |
125
49.6 IPS |
|
|
Machine Translation (F32)
|
100% |
514
79.2 IPS |
|
|
Machine Translation (F16)
|
100% |
454
70.0 IPS |
