iPhone 15 Pro Max
Geekbench ML Score
4017
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:03 PM |
| 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% |
1703
318.7 IPS |
|
|
Image Classification (F16)
|
100% |
2131
398.8 IPS |
|
|
Image Classification (I8)
|
99% |
2155
403.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
840
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7341
8.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
16234
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16446
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1645
122.8 IPS |
|
|
Object Detection (F16)
|
100% |
2277
170.0 IPS |
|
|
Object Detection (I8)
|
97% |
1650
123.2 IPS |
|
|
Face Detection (F32)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4703
55.9 IPS |
|
|
Face Detection (I8)
|
97% |
4743
56.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6152
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9721
75.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9667
75.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20202
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30128
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30069
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5159
184.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6003
214.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5875
209.8 IPS |
|
|
Text Classification (F32)
|
100% |
2935
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4799
6.90 KIPS |
|
|
Text Classification (I8)
|
96% |
4917
7.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1324
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1603
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1292
23.8 IPS |
