iPhone 15 Pro Max
Geekbench ML Score
4019
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 09:09 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% |
1693
316.8 IPS |
|
|
Image Classification (F16)
|
100% |
2159
404.0 IPS |
|
|
Image Classification (I8)
|
99% |
2154
403.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
846
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
843
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7635
9.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
16435
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16419
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1661
124.0 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1659
123.9 IPS |
|
|
Face Detection (F32)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4648
55.3 IPS |
|
|
Face Detection (I8)
|
97% |
4654
55.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6238
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9300
72.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9233
71.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19829
26.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30111
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30022
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5104
182.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6142
219.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6010
214.6 IPS |
|
|
Text Classification (F32)
|
100% |
2938
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4797
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4805
6.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1329
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1598
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
