iPhone 7
Geekbench ML Score
288
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2025 12:57 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| 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% |
273
29.3 IPS |
|
|
Image Classification (F16)
|
100% |
267
28.6 IPS |
|
|
Image Classification (I8)
|
81% |
487
52.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
476
2.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
464
2.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
790
4.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
127
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
246
8.62 IPS |
|
|
Object Detection (F16)
|
100% |
246
8.63 IPS |
|
|
Object Detection (I8)
|
52% |
352
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
320
3.68 IPS |
|
|
Face Detection (F16)
|
100% |
319
3.66 IPS |
|
|
Face Detection (I8)
|
75% |
337
3.87 IPS |
|
|
Text Classification (F32)
|
100% |
314
124.0 IPS |
|
|
Text Classification (F16)
|
100% |
313
123.9 IPS |
|
|
Machine Translation (F32)
|
100% |
319
49.2 IPS |
|
|
Machine Translation (F16)
|
100% |
323
49.8 IPS |
