iPhone 15 Pro Max
Geekbench ML Score
4102
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 09:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1725
322.8 IPS |
|
|
Image Classification (F16)
|
100% |
2172
406.4 IPS |
|
|
Image Classification (I8)
|
99% |
2172
406.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
852
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
849
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8051
9.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
16453
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16422
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1667
124.4 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
4863
57.8 IPS |
|
|
Face Detection (I8)
|
97% |
4862
57.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6645
51.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9708
75.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9738
75.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20688
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30396
40.0 IPS |
|
|
Style Transfer (I8)
|
100% |
30962
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5239
187.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6291
224.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6110
218.2 IPS |
|
|
Text Classification (F32)
|
100% |
2925
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
4795
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4793
6.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1669
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
