iPhone15,2
Geekbench ML Score
1166
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 18 2025 05:44 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
891
95.5 IPS |
|
|
Image Classification (F16)
|
100% |
873
93.6 IPS |
|
|
Image Classification (I8)
|
81% |
473
50.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1334
8.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
1292
7.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
1506
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
480
1.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
476
1.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
540
2.19 IPS |
|
|
Object Detection (F32)
|
100% |
1295
45.4 IPS |
|
|
Object Detection (F16)
|
100% |
1298
45.5 IPS |
|
|
Object Detection (I8)
|
52% |
763
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1605
18.4 IPS |
|
|
Face Detection (F16)
|
100% |
1595
18.3 IPS |
|
|
Face Detection (I8)
|
75% |
862
9.91 IPS |
|
|
Text Classification (F32)
|
100% |
3073
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
3227
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2360
363.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2388
368.1 IPS |
