iPhone 15 Pro Max
Geekbench ML Score
4020
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 02:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1656
309.8 IPS |
|
|
Image Classification (F16)
|
100% |
2159
404.1 IPS |
|
|
Image Classification (I8)
|
99% |
2166
405.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
835
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
813
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
823
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7490
9.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
16261
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16204
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
1643
122.7 IPS |
|
|
Object Detection (F16)
|
100% |
2223
166.0 IPS |
|
|
Object Detection (I8)
|
97% |
1627
121.5 IPS |
|
|
Face Detection (F32)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
4769
56.7 IPS |
|
|
Face Detection (I8)
|
97% |
4717
56.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6232
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9688
75.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9640
74.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20479
26.9 IPS |
|
|
Style Transfer (F16)
|
100% |
30351
39.9 IPS |
|
|
Style Transfer (I8)
|
100% |
30378
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5101
182.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6215
222.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6262
223.6 IPS |
|
|
Text Classification (F32)
|
100% |
2947
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
4838
6.95 KIPS |
|
|
Text Classification (I8)
|
96% |
4830
6.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1334
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1604
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1301
23.9 IPS |
