iPhone 15 Pro Max
Geekbench ML Score
3720
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:46 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1841
344.5 IPS |
|
|
Image Classification (F16)
|
100% |
1896
354.8 IPS |
|
|
Image Classification (I8)
|
99% |
1688
315.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1564
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1556
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14454
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15772
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15571
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (F16)
|
100% |
1943
145.0 IPS |
|
|
Object Detection (I8)
|
97% |
1885
140.7 IPS |
|
|
Face Detection (F32)
|
100% |
6383
75.9 IPS |
|
|
Face Detection (F16)
|
98% |
8108
96.4 IPS |
|
|
Face Detection (I8)
|
97% |
8468
100.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12094
93.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13692
106.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12634
98.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28451
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
32133
42.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34768
45.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6766
241.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6823
243.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7388
263.8 IPS |
|
|
Text Classification (F32)
|
100% |
621
892.3 IPS |
|
|
Text Classification (F16)
|
100% |
477
685.1 IPS |
|
|
Text Classification (I8)
|
96% |
291
418.2 IPS |
|
|
Machine Translation (F32)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (I8)
|
99% |
683
12.6 IPS |
