iPhone 15 Pro Max
Geekbench ML Score
4059
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
1717
321.3 IPS |
|
|
Image Classification (F16)
|
100% |
2145
401.4 IPS |
|
|
Image Classification (I8)
|
99% |
2160
404.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
847
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
845
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7564
9.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
16387
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16431
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1654
123.5 IPS |
|
|
Object Detection (F16)
|
100% |
2264
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1669
124.6 IPS |
|
|
Face Detection (F32)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4817
57.3 IPS |
|
|
Face Detection (I8)
|
97% |
4812
57.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6398
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9755
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9750
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20580
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29972
39.4 IPS |
|
|
Style Transfer (I8)
|
100% |
30085
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5181
185.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6145
219.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6101
217.9 IPS |
|
|
Text Classification (F32)
|
100% |
2944
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4813
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4839
6.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1303
24.0 IPS |
