iPhone15,2
Geekbench ML Score
1008
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 26 2023 11:03 AM |
| Views | 21 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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% |
845
90.6 IPS |
|
|
Image Classification (F16)
|
100% |
822
88.0 IPS |
|
|
Image Classification (I8)
|
81% |
473
50.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1263
7.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1237
7.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1479
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
475
1.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
470
1.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
532
2.15 IPS |
|
|
Object Detection (F32)
|
100% |
1210
42.5 IPS |
|
|
Object Detection (F16)
|
100% |
1206
42.3 IPS |
|
|
Object Detection (I8)
|
52% |
777
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1524
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1501
17.2 IPS |
|
|
Face Detection (I8)
|
75% |
857
9.85 IPS |
|
|
Text Classification (F32)
|
100% |
1047
413.9 IPS |
|
|
Text Classification (F16)
|
100% |
1085
429.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2282
351.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2271
350.0 IPS |
