iPhone 14 Pro Max
Geekbench ML Score
2183
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 12:23 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% |
1220
228.4 IPS |
|
|
Image Classification (F16)
|
100% |
1095
205.0 IPS |
|
|
Image Classification (I8)
|
99% |
1098
205.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
556
9.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
500
8.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
500
8.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
6290
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
12133
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12166
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1260
94.1 IPS |
|
|
Object Detection (F16)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (I8)
|
97% |
1268
94.6 IPS |
|
|
Face Detection (F32)
|
100% |
2275
27.1 IPS |
|
|
Face Detection (F16)
|
100% |
1956
23.3 IPS |
|
|
Face Detection (I8)
|
99% |
1960
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4193
32.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
4419
34.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4407
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11552
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13494
17.7 IPS |
|
|
Style Transfer (I8)
|
100% |
13507
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3433
122.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3043
108.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3085
110.2 IPS |
|
|
Text Classification (F32)
|
100% |
1273
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
828
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
824
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
938
17.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1080
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
938
17.3 IPS |
