iPhone 15 Pro Max
Geekbench ML Score
3668
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1646
308.1 IPS |
|
|
Image Classification (F16)
|
100% |
1670
312.6 IPS |
|
|
Image Classification (I8)
|
99% |
1930
361.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1527
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14826
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15772
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15385
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1504
112.3 IPS |
|
|
Object Detection (I8)
|
97% |
1585
118.4 IPS |
|
|
Face Detection (F32)
|
100% |
5985
71.2 IPS |
|
|
Face Detection (F16)
|
98% |
8101
96.3 IPS |
|
|
Face Detection (I8)
|
97% |
8413
100.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12317
95.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13714
106.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
12724
98.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29146
38.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31689
41.7 IPS |
|
|
Style Transfer (I8)
|
100% |
34770
45.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6998
249.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7620
272.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7143
255.1 IPS |
|
|
Text Classification (F32)
|
100% |
469
674.4 IPS |
|
|
Text Classification (F16)
|
100% |
645
927.6 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.0 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
783
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
674
12.4 IPS |
