iPhone 14 Plus
Geekbench ML Score
3789
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| 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 | 5.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1340
250.7 IPS |
|
|
Image Classification (F16)
|
100% |
2341
438.0 IPS |
|
|
Image Classification (I8)
|
99% |
2335
436.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
932
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1205
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6117
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14208
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14256
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1369
102.2 IPS |
|
|
Object Detection (F16)
|
100% |
2277
170.0 IPS |
|
|
Object Detection (I8)
|
97% |
1374
102.6 IPS |
|
|
Face Detection (F32)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
5359
63.7 IPS |
|
|
Face Detection (I8)
|
97% |
5379
64.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5210
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10605
82.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10498
81.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17357
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27631
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27639
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4032
144.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4985
178.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5081
181.4 IPS |
|
|
Text Classification (F32)
|
100% |
2271
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
3870
5.56 KIPS |
|
|
Text Classification (I8)
|
96% |
3871
5.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1219
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1195
22.0 IPS |
