iPhone15,2
Geekbench ML Score
981
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 08:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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% |
822
88.1 IPS |
|
|
Image Classification (F16)
|
100% |
809
86.7 IPS |
|
|
Image Classification (I8)
|
81% |
478
51.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1262
7.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1226
7.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
1488
9.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
462
1.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
457
1.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
519
2.10 IPS |
|
|
Object Detection (F32)
|
100% |
1176
41.3 IPS |
|
|
Object Detection (F16)
|
100% |
1182
41.5 IPS |
|
|
Object Detection (I8)
|
52% |
763
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1508
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1397
16.1 IPS |
|
|
Face Detection (I8)
|
75% |
838
9.63 IPS |
|
|
Text Classification (F32)
|
100% |
957
378.5 IPS |
|
|
Text Classification (F16)
|
100% |
950
375.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2287
352.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2268
349.5 IPS |
