iPhone 7
Geekbench ML Score
662
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 20 2025 07:13 PM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
569
61.0 IPS |
|
|
Image Classification (F16)
|
100% |
607
65.1 IPS |
|
|
Image Classification (I8)
|
81% |
288
30.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1461
9.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
2474
15.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
468
2.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
626
2.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1182
4.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
905
31.7 IPS |
|
|
Object Detection (F16)
|
100% |
1188
41.7 IPS |
|
|
Object Detection (I8)
|
52% |
380
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
1431
16.4 IPS |
|
|
Face Detection (F16)
|
97% |
2615
30.0 IPS |
|
|
Face Detection (I8)
|
75% |
335
3.85 IPS |
|
|
Text Classification (F32)
|
100% |
408
161.4 IPS |
|
|
Text Classification (F16)
|
98% |
567
224.4 IPS |
|
|
Machine Translation (F32)
|
100% |
536
82.6 IPS |
|
|
Machine Translation (F16)
|
100% |
505
77.8 IPS |
