iPhone 14 Pro Max
Geekbench ML Score
3094
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 04 2024 09:22 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1404
262.7 IPS |
|
|
Image Classification (F16)
|
100% |
2525
472.4 IPS |
|
|
Image Classification (I8)
|
99% |
2524
472.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
305
5.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
446
7.44 IPS |
|
|
Image Segmentation (I8)
|
100% |
632
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3963
4.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
10462
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10727
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1128
84.2 IPS |
|
|
Object Detection (F16)
|
100% |
1862
139.0 IPS |
|
|
Object Detection (I8)
|
97% |
1187
88.6 IPS |
|
|
Face Detection (F32)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (F16)
|
97% |
4446
52.9 IPS |
|
|
Face Detection (I8)
|
97% |
4539
54.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4635
35.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10498
81.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9924
77.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14095
18.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22518
29.6 IPS |
|
|
Style Transfer (I8)
|
100% |
22241
29.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3506
125.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5311
189.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5292
189.0 IPS |
|
|
Text Classification (F32)
|
100% |
2471
3.55 KIPS |
|
|
Text Classification (F16)
|
100% |
4364
6.27 KIPS |
|
|
Text Classification (I8)
|
96% |
4140
5.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1003
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1131
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
720
13.2 IPS |
