iPhone 14 Pro Max
Geekbench ML Score
2185
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1215
227.3 IPS |
|
|
Image Classification (F16)
|
100% |
1103
206.3 IPS |
|
|
Image Classification (I8)
|
99% |
1108
207.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
555
9.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
8.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
503
8.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
6262
7.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
12155
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12177
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1269
94.7 IPS |
|
|
Object Detection (F16)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (I8)
|
97% |
1266
94.5 IPS |
|
|
Face Detection (F32)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (F16)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (I8)
|
99% |
1967
23.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4190
32.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
4407
34.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4409
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11581
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13510
17.8 IPS |
|
|
Style Transfer (I8)
|
100% |
13503
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3427
122.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3063
109.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3076
109.8 IPS |
|
|
Text Classification (F32)
|
100% |
1269
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
828
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
823
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1065
19.6 IPS |
|
|
Machine Translation (I8)
|
99% |
935
17.2 IPS |
