iPhone15,5
Geekbench ML Score
1110
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 05 2026 08:43 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone15,5 |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
888
95.1 IPS |
|
|
Image Classification (F16)
|
100% |
847
90.7 IPS |
|
|
Image Classification (I8)
|
81% |
485
52.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1246
7.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
1206
7.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1466
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
424
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
483
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1207
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
1217
42.7 IPS |
|
|
Object Detection (I8)
|
52% |
731
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1514
17.4 IPS |
|
|
Face Detection (F16)
|
100% |
1451
16.7 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.86 IPS |
|
|
Text Classification (F32)
|
100% |
3117
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
3215
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2263
348.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2256
347.7 IPS |
