iPhone 7
Geekbench ML Score
420
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 27 2025 03:13 PM |
| Views | 12 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.8 IPS |
|
|
Image Classification (F16)
|
100% |
580
62.2 IPS |
|
|
Image Classification (I8)
|
81% |
121
13.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1518
9.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
2519
15.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
190
1.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
631
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
1153
4.67 IPS |
|
|
Pose Estimation (I8)
|
80% |
34
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
632
22.2 IPS |
|
|
Object Detection (F16)
|
100% |
671
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
121
4.24 IPS |
|
|
Face Detection (F32)
|
100% |
1426
16.4 IPS |
|
|
Face Detection (F16)
|
97% |
2068
23.8 IPS |
|
|
Face Detection (I8)
|
75% |
105
1.21 IPS |
|
|
Text Classification (F32)
|
100% |
383
151.7 IPS |
|
|
Text Classification (F16)
|
98% |
518
204.7 IPS |
|
|
Machine Translation (F32)
|
100% |
178
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
183
28.1 IPS |
