iPhone 7
Geekbench ML Score
282
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 09 2025 12:46 AM |
| Views | 8 |
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% |
238
25.5 IPS |
|
|
Image Classification (F16)
|
100% |
235
25.2 IPS |
|
|
Image Classification (I8)
|
81% |
397
42.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
397
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
618
3.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
125
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
135
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
314
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
332
11.7 IPS |
|
|
Object Detection (I8)
|
52% |
443
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
440
5.06 IPS |
|
|
Face Detection (F16)
|
100% |
300
3.45 IPS |
|
|
Face Detection (I8)
|
75% |
212
2.43 IPS |
|
|
Text Classification (F32)
|
100% |
275
108.7 IPS |
|
|
Text Classification (F16)
|
100% |
283
112.0 IPS |
|
|
Machine Translation (F32)
|
100% |
289
44.6 IPS |
|
|
Machine Translation (F16)
|
100% |
294
45.3 IPS |
