iPhone 15 Pro Max
Geekbench ML Score
3953
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:34 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% |
1623
303.7 IPS |
|
|
Image Classification (F16)
|
100% |
2131
398.7 IPS |
|
|
Image Classification (I8)
|
99% |
2133
399.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
867
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
825
13.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7012
8.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
15435
18.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15592
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1618
120.8 IPS |
|
|
Object Detection (F16)
|
100% |
2244
167.5 IPS |
|
|
Object Detection (I8)
|
97% |
1610
120.2 IPS |
|
|
Face Detection (F32)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (F16)
|
97% |
4635
55.1 IPS |
|
|
Face Detection (I8)
|
97% |
4611
54.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6039
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9406
72.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9492
73.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19971
26.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30021
39.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30123
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4942
176.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6184
220.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6060
216.4 IPS |
|
|
Text Classification (F32)
|
100% |
2933
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4813
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4797
6.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1299
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1273
23.4 IPS |
