iPhone15,2
Geekbench ML Score
969
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 10:55 AM |
| Views | 1 |
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 | 3.45 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% |
816
87.4 IPS |
|
|
Image Classification (F16)
|
100% |
792
84.9 IPS |
|
|
Image Classification (I8)
|
81% |
435
46.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1214
7.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
1202
7.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
1476
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
444
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
439
1.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
511
2.07 IPS |
|
|
Object Detection (F32)
|
100% |
1152
40.4 IPS |
|
|
Object Detection (F16)
|
100% |
1159
40.7 IPS |
|
|
Object Detection (I8)
|
52% |
741
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1456
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1433
16.5 IPS |
|
|
Face Detection (I8)
|
75% |
848
9.74 IPS |
|
|
Text Classification (F32)
|
100% |
973
384.7 IPS |
|
|
Text Classification (F16)
|
100% |
1074
424.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2247
346.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2245
346.0 IPS |
