iPhone 14 Pro Max
Geekbench ML Score
2134
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 11:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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% |
1193
223.3 IPS |
|
|
Image Classification (F16)
|
100% |
1100
205.8 IPS |
|
|
Image Classification (I8)
|
99% |
1103
206.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
466
7.79 IPS |
|
|
Image Segmentation (I8)
|
100% |
476
7.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
6111
7.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
12002
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12044
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1256
93.8 IPS |
|
|
Object Detection (F16)
|
100% |
1233
92.1 IPS |
|
|
Object Detection (I8)
|
97% |
1257
93.9 IPS |
|
|
Face Detection (F32)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (F16)
|
100% |
1898
22.6 IPS |
|
|
Face Detection (I8)
|
99% |
1855
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4080
31.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
4398
34.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
4426
34.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11322
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13477
17.7 IPS |
|
|
Style Transfer (I8)
|
100% |
13414
17.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3347
119.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3000
107.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2996
107.0 IPS |
|
|
Text Classification (F32)
|
100% |
1277
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
832
1.20 KIPS |
|
|
Text Classification (I8)
|
96% |
833
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (F16)
|
99% |
998
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
882
16.2 IPS |
