iPhone 15 Pro Max
Geekbench ML Score
4020
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:39 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% |
1718
321.5 IPS |
|
|
Image Classification (F16)
|
100% |
2168
405.7 IPS |
|
|
Image Classification (I8)
|
99% |
2137
399.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
854
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
845
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7395
8.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
16017
19.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
16277
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1649
123.1 IPS |
|
|
Object Detection (F16)
|
100% |
2269
169.4 IPS |
|
|
Object Detection (I8)
|
97% |
1647
123.0 IPS |
|
|
Face Detection (F32)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4747
56.4 IPS |
|
|
Face Detection (I8)
|
97% |
4728
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6293
48.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9694
75.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9657
74.9 IPS |
|
|
Style Transfer (F32)
|
100% |
20044
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
30292
39.8 IPS |
|
|
Style Transfer (I8)
|
100% |
30052
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5112
182.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5930
211.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5932
211.8 IPS |
|
|
Text Classification (F32)
|
100% |
2943
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4803
6.90 KIPS |
|
|
Text Classification (I8)
|
96% |
4796
6.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1278
23.5 IPS |
