iPhone 14 Plus
Geekbench ML Score
7174
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:18 AM |
| Views | 4 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1107
207.1 IPS |
|
|
Image Classification (F16)
|
100% |
7695
1.44 KIPS |
|
|
Image Classification (I8)
|
99% |
9485
1.77 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1401
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2540
42.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2429
40.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10742
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
87139
105.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
89137
107.9 IPS |
|
|
Object Detection (F32)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (F16)
|
100% |
5034
375.8 IPS |
|
|
Object Detection (I8)
|
97% |
1311
97.9 IPS |
|
|
Face Detection (F32)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (F16)
|
97% |
17644
209.8 IPS |
|
|
Face Detection (I8)
|
96% |
17687
210.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8290
64.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
45535
353.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
45425
352.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19053
25.1 IPS |
|
|
Style Transfer (F16)
|
100% |
128550
169.1 IPS |
|
|
Style Transfer (I8)
|
100% |
129794
170.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3732
133.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28140
1.00 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
27308
975.3 IPS |
|
|
Text Classification (F32)
|
100% |
2229
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1959
2.82 KIPS |
|
|
Text Classification (I8)
|
96% |
1832
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1306
24.0 IPS |
|
|
Machine Translation (I8)
|
99% |
708
13.0 IPS |
