iPhone 14
Geekbench ML Score
3106
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 05 2025 12:25 PM |
| Views | 8 |
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% |
1105
206.8 IPS |
|
|
Image Classification (F16)
|
100% |
574
107.3 IPS |
|
|
Image Classification (I8)
|
99% |
661
123.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1364
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10808
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12437
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12110
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
985
73.5 IPS |
|
|
Object Detection (F16)
|
100% |
1091
81.4 IPS |
|
|
Object Detection (I8)
|
97% |
1290
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
3771
44.8 IPS |
|
|
Face Detection (F16)
|
98% |
4117
49.0 IPS |
|
|
Face Detection (I8)
|
97% |
4142
49.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8811
68.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9818
76.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9508
73.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19186
25.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24162
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24043
31.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2815
100.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2618
93.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3854
137.6 IPS |
|
|
Text Classification (F32)
|
100% |
2306
3.31 KIPS |
|
|
Text Classification (F16)
|
100% |
4038
5.80 KIPS |
|
|
Text Classification (I8)
|
96% |
4000
5.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
691
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
712
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
737
13.6 IPS |
