iPhone16,2
Geekbench ML Score
2741
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | LordYu |
| Upload Date | October 04 2023 09:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.70 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2854
305.8 IPS |
|
|
Image Classification (F16)
|
100% |
4818
516.3 IPS |
|
|
Image Classification (I8)
|
81% |
801
85.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
6061
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9724
60.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1399
8.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
2464
9.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
5174
20.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
267
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
3777
132.6 IPS |
|
|
Object Detection (F16)
|
100% |
5091
178.6 IPS |
|
|
Object Detection (I8)
|
52% |
1132
39.7 IPS |
|
|
Face Detection (F32)
|
100% |
5841
67.1 IPS |
|
|
Face Detection (F16)
|
97% |
10826
124.4 IPS |
|
|
Face Detection (I8)
|
75% |
1091
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
2475
979.1 IPS |
|
|
Text Classification (F16)
|
100% |
2246
888.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2853
439.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2852
439.6 IPS |
