iPhone14,7
Geekbench ML Score
1356
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 01:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.38 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1810
194.0 IPS |
|
|
Image Classification (F16)
|
100% |
1961
210.1 IPS |
|
|
Image Classification (I8)
|
81% |
297
31.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5502
34.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7939
49.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
542
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
1747
7.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
5064
20.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
1836
64.4 IPS |
|
|
Object Detection (F16)
|
100% |
2342
82.2 IPS |
|
|
Object Detection (I8)
|
52% |
423
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
3917
45.0 IPS |
|
|
Face Detection (F16)
|
97% |
6253
71.8 IPS |
|
|
Face Detection (I8)
|
75% |
402
4.61 IPS |
|
|
Text Classification (F32)
|
100% |
859
339.6 IPS |
|
|
Text Classification (F16)
|
100% |
989
391.1 IPS |
|
|
Machine Translation (F32)
|
100% |
971
149.7 IPS |
|
|
Machine Translation (F16)
|
100% |
972
149.7 IPS |
