iPhone15,2
Geekbench ML Score
1162
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2025 02:50 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
905
97.0 IPS |
|
|
Image Classification (F16)
|
100% |
886
95.0 IPS |
|
|
Image Classification (I8)
|
81% |
479
51.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1304
8.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
1278
7.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
1486
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
480
1.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
476
1.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
537
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
1351
47.4 IPS |
|
|
Object Detection (F16)
|
100% |
1351
47.4 IPS |
|
|
Object Detection (I8)
|
52% |
757
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
1613
18.5 IPS |
|
|
Face Detection (F16)
|
100% |
1602
18.4 IPS |
|
|
Face Detection (I8)
|
75% |
853
9.80 IPS |
|
|
Text Classification (F32)
|
100% |
3110
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
3117
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2240
345.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2261
348.5 IPS |
