iPhone 14
Geekbench ML Score
3346
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 05 2025 12:27 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1559
291.7 IPS |
|
|
Image Classification (F16)
|
100% |
932
174.3 IPS |
|
|
Image Classification (I8)
|
99% |
1634
305.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
946
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1336
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10736
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
12633
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12340
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1294
96.6 IPS |
|
|
Object Detection (F16)
|
100% |
1502
112.2 IPS |
|
|
Object Detection (I8)
|
97% |
1310
97.8 IPS |
|
|
Face Detection (F32)
|
100% |
4849
57.7 IPS |
|
|
Face Detection (F16)
|
98% |
4818
57.3 IPS |
|
|
Face Detection (I8)
|
97% |
4960
59.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7917
61.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8692
67.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10108
78.4 IPS |
|
|
Style Transfer (F32)
|
100% |
19020
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23973
31.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23945
31.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3787
135.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3897
139.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3818
136.3 IPS |
|
|
Text Classification (F32)
|
100% |
1641
2.36 KIPS |
|
|
Text Classification (F16)
|
100% |
3577
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3904
5.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
622
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
691
12.7 IPS |
|
|
Machine Translation (I8)
|
99% |
627
11.5 IPS |
