iPhone 7 Plus
Geekbench ML Score
723
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 30 2025 05:59 PM |
| Views | 3 |
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% |
587
62.9 IPS |
|
|
Image Classification (F16)
|
100% |
589
63.1 IPS |
|
|
Image Classification (I8)
|
81% |
317
34.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1547
9.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
2587
16.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
585
3.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
642
2.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
1209
4.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
123
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
945
33.2 IPS |
|
|
Object Detection (F16)
|
100% |
1196
42.0 IPS |
|
|
Object Detection (I8)
|
52% |
454
15.9 IPS |
|
|
Face Detection (F32)
|
100% |
1490
17.1 IPS |
|
|
Face Detection (F16)
|
97% |
2712
31.2 IPS |
|
|
Face Detection (I8)
|
75% |
416
4.78 IPS |
|
|
Text Classification (F32)
|
100% |
415
164.1 IPS |
|
|
Text Classification (F16)
|
98% |
550
217.7 IPS |
|
|
Machine Translation (F32)
|
100% |
664
102.4 IPS |
|
|
Machine Translation (F16)
|
100% |
668
103.0 IPS |
