iPhone15,2
Geekbench ML Score
2505
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:37 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.40 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2927
313.6 IPS |
|
|
Image Classification (F16)
|
100% |
4585
491.2 IPS |
|
|
Image Classification (I8)
|
81% |
746
79.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
6362
39.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9176
56.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1367
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
2401
9.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
5144
20.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
3556
124.8 IPS |
|
|
Object Detection (F16)
|
100% |
3476
122.0 IPS |
|
|
Object Detection (I8)
|
52% |
1063
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
5980
68.7 IPS |
|
|
Face Detection (F16)
|
97% |
10013
115.0 IPS |
|
|
Face Detection (I8)
|
75% |
1040
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
1907
754.2 IPS |
|
|
Text Classification (F16)
|
100% |
1918
758.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2226
343.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2230
343.7 IPS |
