iPhone 14
Geekbench ML Score
3316
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 13 2024 02:33 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1400
261.9 IPS |
|
|
Image Classification (F16)
|
100% |
1738
325.2 IPS |
|
|
Image Classification (I8)
|
99% |
1733
324.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
821
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5845
7.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
13431
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13432
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1376
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
1856
138.5 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
2485
29.6 IPS |
|
|
Face Detection (F16)
|
97% |
3979
47.3 IPS |
|
|
Face Detection (I8)
|
97% |
3974
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5012
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8190
63.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8116
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16538
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
25072
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25093
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3764
134.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4933
176.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4919
175.7 IPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3098
4.45 KIPS |
|
|
Text Classification (I8)
|
96% |
3104
4.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
1178
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1127
20.7 IPS |
