iPhone 14 Plus
Geekbench ML Score
3348
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 11:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1397
261.4 IPS |
|
|
Image Classification (F16)
|
100% |
1754
328.2 IPS |
|
|
Image Classification (I8)
|
99% |
1746
326.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
819
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5889
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
13442
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13433
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1385
103.4 IPS |
|
|
Object Detection (F16)
|
100% |
1867
139.4 IPS |
|
|
Object Detection (I8)
|
97% |
1389
103.7 IPS |
|
|
Face Detection (F32)
|
100% |
2499
29.7 IPS |
|
|
Face Detection (F16)
|
97% |
3985
47.4 IPS |
|
|
Face Detection (I8)
|
97% |
3992
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5055
39.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8162
63.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8164
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16257
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25445
33.5 IPS |
|
|
Style Transfer (I8)
|
100% |
25104
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3741
133.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4872
174.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4851
173.3 IPS |
|
|
Text Classification (F32)
|
100% |
2192
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3492
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1156
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1115
20.5 IPS |
