iPhone 7
Geekbench ML Score
236
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 03 2024 04:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.2 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
251
26.9 IPS |
|
|
Image Classification (F16)
|
100% |
164
17.6 IPS |
|
|
Image Classification (I8)
|
81% |
248
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
256
1.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
254
1.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
445
2.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
241
8.44 IPS |
|
|
Object Detection (F16)
|
100% |
237
8.30 IPS |
|
|
Object Detection (I8)
|
52% |
353
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
316
3.63 IPS |
|
|
Face Detection (F16)
|
100% |
315
3.62 IPS |
|
|
Face Detection (I8)
|
75% |
332
3.81 IPS |
|
|
Text Classification (F32)
|
100% |
314
124.1 IPS |
|
|
Text Classification (F16)
|
100% |
314
124.3 IPS |
|
|
Machine Translation (F32)
|
100% |
322
49.6 IPS |
|
|
Machine Translation (F16)
|
100% |
323
49.7 IPS |
