iPhone 7 Plus
Geekbench ML Score
599
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:26 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
557
59.7 IPS |
|
|
Image Classification (F16)
|
100% |
577
61.8 IPS |
|
|
Image Classification (I8)
|
81% |
141
15.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1512
9.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
2520
15.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
343
2.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
636
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
1195
4.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
902
31.7 IPS |
|
|
Object Detection (F16)
|
100% |
1085
38.1 IPS |
|
|
Object Detection (I8)
|
52% |
329
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
1437
16.5 IPS |
|
|
Face Detection (F16)
|
97% |
2637
30.3 IPS |
|
|
Face Detection (I8)
|
75% |
301
3.46 IPS |
|
|
Text Classification (F32)
|
100% |
437
172.9 IPS |
|
|
Text Classification (F16)
|
98% |
573
226.6 IPS |
|
|
Machine Translation (F32)
|
100% |
392
60.5 IPS |
|
|
Machine Translation (F16)
|
100% |
412
63.5 IPS |
