iPhone 15
Geekbench ML Score
3338
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 10:32 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | 5.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1218
228.0 IPS |
|
|
Image Classification (F16)
|
100% |
761
142.4 IPS |
|
|
Image Classification (I8)
|
99% |
1192
223.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1424
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1403
23.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1391
23.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11854
14.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
12662
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12342
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1196
89.3 IPS |
|
|
Object Detection (F16)
|
100% |
957
71.4 IPS |
|
|
Object Detection (I8)
|
97% |
1320
98.6 IPS |
|
|
Face Detection (F32)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (F16)
|
98% |
4372
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4094
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8803
68.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9404
72.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8992
69.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21217
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
24230
31.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23877
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3716
132.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3811
136.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3820
136.4 IPS |
|
|
Text Classification (F32)
|
100% |
2540
3.65 KIPS |
|
|
Text Classification (F16)
|
100% |
4501
6.47 KIPS |
|
|
Text Classification (I8)
|
96% |
4462
6.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
692
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
712
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
671
12.3 IPS |
