iPhone 14 Pro Max
Geekbench ML Score
3935
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1382
258.6 IPS |
|
|
Image Classification (F16)
|
100% |
2486
465.2 IPS |
|
|
Image Classification (I8)
|
99% |
2480
464.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1050
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1050
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6474
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
14788
17.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14608
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1453
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2433
181.7 IPS |
|
|
Object Detection (I8)
|
97% |
1451
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
5777
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5731
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6130
47.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12111
93.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12290
95.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18383
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27592
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27629
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4432
158.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5085
181.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4997
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
2428
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
4190
6.02 KIPS |
|
|
Text Classification (I8)
|
96% |
4196
6.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1207
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1494
27.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1195
22.0 IPS |
