iPhone 15 Pro Max
Geekbench ML Score
4172
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 10:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1445
270.5 IPS |
|
|
Image Classification (F16)
|
100% |
2792
522.5 IPS |
|
|
Image Classification (I8)
|
99% |
2795
523.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1100
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1102
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6900
8.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
14401
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14413
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1562
116.6 IPS |
|
|
Object Detection (F16)
|
100% |
2678
199.9 IPS |
|
|
Object Detection (I8)
|
97% |
1562
116.6 IPS |
|
|
Face Detection (F32)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (F16)
|
97% |
5657
67.3 IPS |
|
|
Face Detection (I8)
|
97% |
5624
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6084
47.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
12672
98.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
12689
98.4 IPS |
|
|
Style Transfer (F32)
|
100% |
19298
25.4 IPS |
|
|
Style Transfer (F16)
|
100% |
31136
41.0 IPS |
|
|
Style Transfer (I8)
|
100% |
31025
40.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5072
181.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6185
220.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6320
225.7 IPS |
|
|
Text Classification (F32)
|
100% |
2918
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
4973
7.15 KIPS |
|
|
Text Classification (I8)
|
96% |
5024
7.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1095
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1093
20.1 IPS |
