iPhone16,2
Geekbench ML Score
1276
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 30 2025 12:08 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1002
107.3 IPS |
|
|
Image Classification (F16)
|
100% |
1000
107.2 IPS |
|
|
Image Classification (I8)
|
81% |
581
62.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
8.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
1315
8.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1627
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
464
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
459
1.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
629
2.55 IPS |
|
|
Object Detection (F32)
|
100% |
1384
48.6 IPS |
|
|
Object Detection (F16)
|
100% |
1384
48.6 IPS |
|
|
Object Detection (I8)
|
52% |
833
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
1759
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1732
19.9 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
2648
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
4662
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2757
424.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2844
438.3 IPS |
