iPhone 15 Pro Max
Geekbench ML Score
4065
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1700
318.2 IPS |
|
|
Image Classification (F16)
|
100% |
2175
407.0 IPS |
|
|
Image Classification (I8)
|
99% |
2187
409.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
878
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
846
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
831
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7834
9.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
16411
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16471
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1658
123.8 IPS |
|
|
Object Detection (F16)
|
100% |
2264
169.0 IPS |
|
|
Object Detection (I8)
|
97% |
1655
123.6 IPS |
|
|
Face Detection (F32)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
4869
57.9 IPS |
|
|
Face Detection (I8)
|
97% |
4852
57.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6387
49.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9681
75.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9731
75.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20630
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
30407
40.0 IPS |
|
|
Style Transfer (I8)
|
100% |
30117
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5213
186.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6098
217.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6033
215.5 IPS |
|
|
Text Classification (F32)
|
100% |
2940
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4808
6.91 KIPS |
|
|
Text Classification (I8)
|
96% |
4814
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1334
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
