iPhone 15 Pro Max
Geekbench ML Score
4560
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 04:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1691
316.3 IPS |
|
|
Image Classification (F16)
|
100% |
2889
540.5 IPS |
|
|
Image Classification (I8)
|
99% |
2900
542.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1172
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1182
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8165
9.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
16715
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16912
20.5 IPS |
|
|
Object Detection (F32)
|
100% |
1681
125.5 IPS |
|
|
Object Detection (F16)
|
100% |
2788
208.2 IPS |
|
|
Object Detection (I8)
|
97% |
1682
125.6 IPS |
|
|
Face Detection (F32)
|
100% |
3075
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
6389
76.0 IPS |
|
|
Face Detection (I8)
|
97% |
6381
75.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7159
55.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13605
105.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
13596
105.4 IPS |
|
|
Style Transfer (F32)
|
100% |
21481
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32010
42.1 IPS |
|
|
Style Transfer (I8)
|
100% |
32251
42.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5494
196.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5972
213.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5976
213.4 IPS |
|
|
Text Classification (F32)
|
100% |
2930
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
5020
7.22 KIPS |
|
|
Text Classification (I8)
|
96% |
5005
7.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1733
31.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1361
25.0 IPS |
