iPhone 7
Geekbench ML Score
391
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 20 2024 12:29 AM |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
211
22.6 IPS |
|
|
Image Classification (F16)
|
100% |
236
25.3 IPS |
|
|
Image Classification (I8)
|
81% |
320
34.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
647
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
649
4.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
590
3.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
445
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
444
1.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
387
13.6 IPS |
|
|
Object Detection (F16)
|
100% |
661
23.2 IPS |
|
|
Object Detection (I8)
|
52% |
458
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
733
8.42 IPS |
|
|
Face Detection (F16)
|
100% |
746
8.58 IPS |
|
|
Face Detection (I8)
|
75% |
418
4.80 IPS |
|
|
Text Classification (F32)
|
98% |
104
41.1 IPS |
|
|
Text Classification (F16)
|
98% |
145
57.3 IPS |
|
|
Machine Translation (F32)
|
100% |
684
105.4 IPS |
|
|
Machine Translation (F16)
|
100% |
685
105.6 IPS |
