iPhone 15 Pro Max
Geekbench ML Score
3979
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:42 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% |
1673
313.1 IPS |
|
|
Image Classification (F16)
|
100% |
2162
404.6 IPS |
|
|
Image Classification (I8)
|
99% |
2146
401.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
869
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
838
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7102
8.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
15628
18.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
15755
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1621
121.0 IPS |
|
|
Object Detection (F16)
|
100% |
2276
169.9 IPS |
|
|
Object Detection (I8)
|
97% |
1629
121.6 IPS |
|
|
Face Detection (F32)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (F16)
|
97% |
4670
55.5 IPS |
|
|
Face Detection (I8)
|
97% |
4666
55.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6065
47.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9498
73.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9619
74.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20179
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30039
39.5 IPS |
|
|
Style Transfer (I8)
|
100% |
29901
39.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5005
178.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6014
214.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6196
221.3 IPS |
|
|
Text Classification (F32)
|
100% |
2943
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
4814
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4815
6.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1291
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1561
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1267
23.3 IPS |
