iPhone15,5
Geekbench ML Score
3323
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:23 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone15,5 |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7436
796.7 IPS |
|
|
Image Classification (F16)
|
100% |
7378
790.5 IPS |
|
|
Image Classification (I8)
|
81% |
744
79.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2418
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2447
15.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1312
8.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
26871
108.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25777
104.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
252
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
8758
307.4 IPS |
|
|
Object Detection (F16)
|
100% |
9059
317.9 IPS |
|
|
Object Detection (I8)
|
52% |
1049
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
11378
130.7 IPS |
|
|
Face Detection (F16)
|
100% |
11166
128.3 IPS |
|
|
Face Detection (I8)
|
75% |
992
11.4 IPS |
|
|
Text Classification (F32)
|
100% |
1565
618.9 IPS |
|
|
Text Classification (F16)
|
100% |
1629
644.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2341
360.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2351
362.3 IPS |
