iPhone 7
Geekbench ML Score
719
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 05 2026 09:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| 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% |
577
61.9 IPS |
|
|
Image Classification (F16)
|
100% |
583
62.5 IPS |
|
|
Image Classification (I8)
|
81% |
321
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1553
9.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
2580
15.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
590
3.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
647
2.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
1215
4.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
948
33.3 IPS |
|
|
Object Detection (F16)
|
100% |
1001
35.1 IPS |
|
|
Object Detection (I8)
|
52% |
458
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
1495
17.2 IPS |
|
|
Face Detection (F16)
|
97% |
2722
31.3 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
100% |
410
162.0 IPS |
|
|
Text Classification (F16)
|
98% |
543
214.9 IPS |
|
|
Machine Translation (F32)
|
100% |
680
104.8 IPS |
|
|
Machine Translation (F16)
|
100% |
682
105.1 IPS |
