iPhone 7
Geekbench ML Score
307
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | eunu |
| Upload Date | August 10 2025 11:48 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
177
18.9 IPS |
|
|
Image Classification (F16)
|
100% |
184
19.7 IPS |
|
|
Image Classification (I8)
|
81% |
354
38.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
604
3.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
138
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
322
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
349
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
490
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
383
4.39 IPS |
|
|
Face Detection (F16)
|
100% |
383
4.41 IPS |
|
|
Face Detection (I8)
|
75% |
453
5.21 IPS |
|
|
Text Classification (F32)
|
100% |
419
165.9 IPS |
|
|
Text Classification (F16)
|
100% |
498
196.8 IPS |
|
|
Machine Translation (F32)
|
100% |
489
75.4 IPS |
|
|
Machine Translation (F16)
|
100% |
442
68.1 IPS |
