iPhone 15 Pro Max
Geekbench ML Score
4070
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1706
319.3 IPS |
|
|
Image Classification (F16)
|
100% |
2154
403.1 IPS |
|
|
Image Classification (I8)
|
99% |
2170
406.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
871
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
883
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7700
9.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
16428
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16377
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1653
123.4 IPS |
|
|
Object Detection (F16)
|
100% |
2260
168.7 IPS |
|
|
Object Detection (I8)
|
97% |
1630
121.7 IPS |
|
|
Face Detection (F32)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4813
57.2 IPS |
|
|
Face Detection (I8)
|
97% |
4843
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6457
50.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9731
75.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9719
75.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20612
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29956
39.4 IPS |
|
|
Style Transfer (I8)
|
100% |
30238
39.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5269
188.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5895
210.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5903
210.8 IPS |
|
|
Text Classification (F32)
|
100% |
2939
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4806
6.91 KIPS |
|
|
Text Classification (I8)
|
96% |
4803
6.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1631
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1312
24.2 IPS |
