iPhone15,2
Geekbench ML Score
3192
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 10:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7084
759.0 IPS |
|
|
Image Classification (F16)
|
100% |
7096
760.3 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2420
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2390
14.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1342
8.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
25709
104.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
26366
106.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
8859
310.9 IPS |
|
|
Object Detection (F16)
|
100% |
8818
309.5 IPS |
|
|
Object Detection (I8)
|
52% |
1061
37.2 IPS |
|
|
Face Detection (F32)
|
100% |
10376
119.2 IPS |
|
|
Face Detection (F16)
|
100% |
10407
119.6 IPS |
|
|
Face Detection (I8)
|
75% |
1036
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
1274
503.8 IPS |
|
|
Text Classification (F16)
|
100% |
1248
493.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2251
347.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2241
345.3 IPS |
