iPhone 7
Geekbench ML Score
421
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | brianl831 |
| Upload Date | August 13 2025 12:56 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| Model | iPhone 7 |
| Model ID | iPhone9,1 |
| Motherboard | D10AP |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
336
36.0 IPS |
|
|
Image Classification (F16)
|
100% |
244
26.2 IPS |
|
|
Image Classification (I8)
|
81% |
319
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
621
3.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
621
3.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
566
3.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
444
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
445
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
631
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
642
22.5 IPS |
|
|
Object Detection (I8)
|
52% |
457
16.0 IPS |
|
|
Face Detection (F32)
|
100% |
792
9.10 IPS |
|
|
Face Detection (F16)
|
100% |
870
9.99 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
|
Text Classification (F32)
|
98% |
153
60.5 IPS |
|
|
Text Classification (F16)
|
98% |
153
60.7 IPS |
|
|
Machine Translation (F32)
|
100% |
618
95.2 IPS |
|
|
Machine Translation (F16)
|
100% |
682
105.1 IPS |
