iPhone15,2
Geekbench ML Score
1015
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 09:53 PM |
| Views | 1 |
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 | 3.44 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
832
89.1 IPS |
|
|
Image Classification (F16)
|
100% |
821
88.0 IPS |
|
|
Image Classification (I8)
|
81% |
481
51.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
7.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
1254
7.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
1488
9.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
478
1.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
471
1.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
534
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
1229
43.1 IPS |
|
|
Object Detection (F16)
|
100% |
1232
43.2 IPS |
|
|
Object Detection (I8)
|
52% |
775
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1513
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
1491
17.1 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
1120
443.0 IPS |
|
|
Text Classification (F16)
|
100% |
1142
451.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2245
346.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2233
344.1 IPS |
