iPhone 15 Pro Max
Geekbench ML Score
4011
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:33 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% |
1680
314.4 IPS |
|
|
Image Classification (F16)
|
100% |
2156
403.4 IPS |
|
|
Image Classification (I8)
|
99% |
2159
404.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
839
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7195
8.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
15885
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16081
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1659
123.9 IPS |
|
|
Object Detection (F16)
|
100% |
2256
168.4 IPS |
|
|
Object Detection (I8)
|
97% |
1636
122.2 IPS |
|
|
Face Detection (F32)
|
100% |
2806
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
4699
55.9 IPS |
|
|
Face Detection (I8)
|
97% |
4708
56.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6195
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9609
74.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9604
74.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20071
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
30024
39.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30005
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5026
179.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6433
229.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5935
212.0 IPS |
|
|
Text Classification (F32)
|
100% |
2955
4.25 KIPS |
|
|
Text Classification (F16)
|
100% |
4859
6.98 KIPS |
|
|
Text Classification (I8)
|
96% |
4810
6.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1315
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1278
23.5 IPS |
