iPhone16,2
Geekbench ML Score
2767
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 02 2023 12:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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% |
2913
312.1 IPS |
|
|
Image Classification (F16)
|
100% |
4872
522.0 IPS |
|
|
Image Classification (I8)
|
81% |
836
89.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6202
38.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9914
61.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1543
9.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
2459
9.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
5239
21.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
287
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
3816
133.9 IPS |
|
|
Object Detection (F16)
|
100% |
4069
142.8 IPS |
|
|
Object Detection (I8)
|
52% |
1200
42.1 IPS |
|
|
Face Detection (F32)
|
100% |
5973
68.6 IPS |
|
|
Face Detection (F16)
|
97% |
10976
126.1 IPS |
|
|
Face Detection (I8)
|
75% |
1182
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
2500
989.0 IPS |
|
|
Text Classification (F16)
|
100% |
2086
825.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2823
435.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2841
437.8 IPS |
