iPhone 7 Plus
Geekbench ML Score
401
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 11 2025 04:56 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
264
28.3 IPS |
|
|
Image Classification (F16)
|
100% |
297
31.8 IPS |
|
|
Image Classification (I8)
|
81% |
321
34.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
643
3.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
589
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
443
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
444
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
394
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
607
21.3 IPS |
|
|
Object Detection (I8)
|
52% |
459
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
720
8.27 IPS |
|
|
Face Detection (F16)
|
100% |
773
8.88 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
98% |
152
60.3 IPS |
|
|
Text Classification (F16)
|
98% |
126
49.7 IPS |
|
|
Machine Translation (F32)
|
100% |
677
104.3 IPS |
|
|
Machine Translation (F16)
|
100% |
640
98.7 IPS |
