iPhone 7
Geekbench ML Score
667
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 29 2024 09:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| Model | iPhone 7 |
| Model ID | iPhone9,1 |
| Motherboard | D10AP |
| 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 | 1.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
574
61.5 IPS |
|
|
Image Classification (F16)
|
100% |
584
62.6 IPS |
|
|
Image Classification (I8)
|
81% |
316
33.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1548
9.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
2588
16.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
581
3.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
644
2.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
1215
4.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
940
33.0 IPS |
|
|
Object Detection (F16)
|
100% |
1078
37.8 IPS |
|
|
Object Detection (I8)
|
52% |
346
12.1 IPS |
|
|
Face Detection (F32)
|
100% |
1486
17.1 IPS |
|
|
Face Detection (F16)
|
97% |
2701
31.0 IPS |
|
|
Face Detection (I8)
|
75% |
298
3.43 IPS |
|
|
Text Classification (F32)
|
100% |
405
160.1 IPS |
|
|
Text Classification (F16)
|
98% |
533
210.9 IPS |
|
|
Machine Translation (F32)
|
100% |
491
75.7 IPS |
|
|
Machine Translation (F16)
|
100% |
497
76.5 IPS |
