iPhone 7 Plus
Geekbench ML Score
328
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 21 2024 04:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
177
19.0 IPS |
|
|
Image Classification (F16)
|
100% |
174
18.6 IPS |
|
|
Image Classification (I8)
|
81% |
366
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
324
2.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
589
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
325
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
320
11.2 IPS |
|
|
Object Detection (I8)
|
52% |
499
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
399
4.59 IPS |
|
|
Face Detection (F16)
|
100% |
397
4.56 IPS |
|
|
Face Detection (I8)
|
75% |
464
5.33 IPS |
|
|
Text Classification (F32)
|
100% |
599
237.0 IPS |
|
|
Text Classification (F16)
|
100% |
598
236.6 IPS |
|
|
Machine Translation (F32)
|
100% |
687
105.8 IPS |
|
|
Machine Translation (F16)
|
100% |
687
105.8 IPS |
