iPhone 15 Pro Max
Geekbench ML Score
4081
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 09:07 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% |
1704
318.8 IPS |
|
|
Image Classification (F16)
|
100% |
2143
401.1 IPS |
|
|
Image Classification (I8)
|
99% |
2160
404.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
906
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
856
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
859
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7596
9.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
16426
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16386
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1657
123.7 IPS |
|
|
Object Detection (F16)
|
100% |
2237
167.0 IPS |
|
|
Object Detection (I8)
|
97% |
1655
123.5 IPS |
|
|
Face Detection (F32)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4757
56.6 IPS |
|
|
Face Detection (I8)
|
97% |
4779
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6355
49.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9759
75.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9719
75.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20424
26.9 IPS |
|
|
Style Transfer (F16)
|
100% |
30672
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
30974
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5127
183.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6412
229.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6421
229.3 IPS |
|
|
Text Classification (F32)
|
100% |
2953
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
4897
7.04 KIPS |
|
|
Text Classification (I8)
|
96% |
4843
6.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1311
24.1 IPS |
