iPhone 14 Pro Max
Geekbench ML Score
2175
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 03:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
1223
228.8 IPS |
|
|
Image Classification (F16)
|
100% |
1103
206.3 IPS |
|
|
Image Classification (I8)
|
99% |
1101
206.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
554
9.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
498
8.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
497
8.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
6244
7.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
12136
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12122
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1262
94.2 IPS |
|
|
Object Detection (F16)
|
100% |
1233
92.0 IPS |
|
|
Object Detection (I8)
|
97% |
1264
94.3 IPS |
|
|
Face Detection (F32)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (F16)
|
100% |
1954
23.2 IPS |
|
|
Face Detection (I8)
|
99% |
1953
23.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4167
32.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
4409
34.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4394
34.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11479
15.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13426
17.7 IPS |
|
|
Style Transfer (I8)
|
100% |
13455
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3430
122.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3029
108.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3030
108.2 IPS |
|
|
Text Classification (F32)
|
100% |
1267
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
823
1.18 KIPS |
|
|
Text Classification (I8)
|
96% |
822
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
931
17.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
933
17.2 IPS |
