iPhone 15 Pro Max
Geekbench ML Score
3593
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 05:22 PM |
| 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% |
1286
240.6 IPS |
|
|
Image Classification (F16)
|
100% |
1338
250.3 IPS |
|
|
Image Classification (I8)
|
99% |
1595
298.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1379
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1475
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1523
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14881
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15799
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15614
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
1518
113.3 IPS |
|
|
Object Detection (I8)
|
97% |
1642
122.6 IPS |
|
|
Face Detection (F32)
|
100% |
6147
73.1 IPS |
|
|
Face Detection (F16)
|
98% |
8191
97.4 IPS |
|
|
Face Detection (I8)
|
97% |
8598
102.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12369
95.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13863
107.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12777
99.1 IPS |
|
|
Style Transfer (F32)
|
100% |
29968
39.4 IPS |
|
|
Style Transfer (F16)
|
100% |
32118
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
31196
41.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7030
251.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6538
233.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6629
236.7 IPS |
|
|
Text Classification (F32)
|
100% |
457
657.0 IPS |
|
|
Text Classification (F16)
|
100% |
656
942.6 IPS |
|
|
Text Classification (I8)
|
96% |
386
555.1 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
779
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
