iPhone 7
Geekbench ML Score
327
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 01 2026 09:34 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPhone 7 |
| Model ID | iPhone9,3 |
| Motherboard | D101AP |
| 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% |
187
20.0 IPS |
|
|
Image Classification (F16)
|
100% |
177
19.0 IPS |
|
|
Image Classification (I8)
|
81% |
367
39.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
2.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
580
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
138
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
318
11.2 IPS |
|
|
Object Detection (F16)
|
100% |
329
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
493
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
387
4.45 IPS |
|
|
Face Detection (F16)
|
100% |
393
4.51 IPS |
|
|
Face Detection (I8)
|
75% |
452
5.20 IPS |
|
|
Text Classification (F32)
|
100% |
599
236.8 IPS |
|
|
Text Classification (F16)
|
100% |
595
235.4 IPS |
|
|
Machine Translation (F32)
|
100% |
687
105.8 IPS |
|
|
Machine Translation (F16)
|
100% |
677
104.3 IPS |
