iPhone 15 Pro Max
Geekbench ML Score
4081
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 07:10 AM |
| Views | 2 |
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% |
1721
322.0 IPS |
|
|
Image Classification (F16)
|
100% |
2170
406.0 IPS |
|
|
Image Classification (I8)
|
99% |
2170
406.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
846
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7923
9.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
16441
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16455
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1664
124.3 IPS |
|
|
Object Detection (F16)
|
100% |
2261
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1659
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
4845
57.6 IPS |
|
|
Face Detection (I8)
|
97% |
4854
57.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6492
50.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9747
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9709
75.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20722
27.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30089
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30078
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5177
184.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5891
210.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6325
225.9 IPS |
|
|
Text Classification (F32)
|
100% |
2949
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
4806
6.91 KIPS |
|
|
Text Classification (I8)
|
96% |
4803
6.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1358
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
