iPhone 14 Pro Max
Geekbench ML Score
2057
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 02 2024 06:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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% |
979
183.2 IPS |
|
|
Image Classification (F16)
|
100% |
979
183.2 IPS |
|
|
Image Classification (I8)
|
99% |
966
180.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
702
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
620
10.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
619
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5793
7.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
10571
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
10495
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1093
81.6 IPS |
|
|
Object Detection (F16)
|
100% |
1082
80.8 IPS |
|
|
Object Detection (I8)
|
97% |
1103
82.3 IPS |
|
|
Face Detection (F32)
|
100% |
1883
22.4 IPS |
|
|
Face Detection (F16)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (I8)
|
99% |
1734
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3532
27.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3891
30.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3873
30.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10466
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12476
16.4 IPS |
|
|
Style Transfer (I8)
|
100% |
12460
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2476
88.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2699
96.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2689
96.0 IPS |
|
|
Text Classification (F32)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
522
750.0 IPS |
|
|
Text Classification (I8)
|
96% |
650
933.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1428
26.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1848
34.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1402
25.8 IPS |
