iPhone 14 Plus
Geekbench ML Score
3256
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:22 AM |
| Views | 9 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
687
128.6 IPS |
|
|
Image Classification (F16)
|
100% |
727
136.1 IPS |
|
|
Image Classification (I8)
|
99% |
912
170.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1371
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1422
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10784
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12472
15.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12254
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
1289
96.2 IPS |
|
|
Object Detection (F16)
|
100% |
1255
93.7 IPS |
|
|
Object Detection (I8)
|
97% |
1285
95.9 IPS |
|
|
Face Detection (F32)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (F16)
|
98% |
3886
46.2 IPS |
|
|
Face Detection (I8)
|
97% |
5915
70.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8793
68.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8597
66.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9612
74.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18650
24.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23992
31.6 IPS |
|
|
Style Transfer (I8)
|
100% |
23435
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3756
134.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3895
139.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3813
136.2 IPS |
|
|
Text Classification (F32)
|
100% |
2282
3.28 KIPS |
|
|
Text Classification (F16)
|
100% |
3994
5.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3870
5.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
713
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
716
13.2 IPS |
