iPhone 15 Pro Max
Geekbench ML Score
3680
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 03 2024 04:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1567
293.2 IPS |
|
|
Image Classification (F16)
|
100% |
1535
287.2 IPS |
|
|
Image Classification (I8)
|
99% |
1786
334.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1380
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1537
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14838
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15808
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15606
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1640
122.4 IPS |
|
|
Object Detection (F16)
|
100% |
1550
115.7 IPS |
|
|
Object Detection (I8)
|
97% |
2272
169.6 IPS |
|
|
Face Detection (F32)
|
100% |
6110
72.7 IPS |
|
|
Face Detection (F16)
|
98% |
8156
97.0 IPS |
|
|
Face Detection (I8)
|
97% |
8579
102.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12424
96.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
13875
107.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12730
98.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29568
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31559
41.5 IPS |
|
|
Style Transfer (I8)
|
100% |
36228
47.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7001
250.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5147
183.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7114
254.1 IPS |
|
|
Text Classification (F32)
|
100% |
465
668.9 IPS |
|
|
Text Classification (F16)
|
100% |
658
945.9 IPS |
|
|
Text Classification (I8)
|
96% |
307
441.1 IPS |
|
|
Machine Translation (F32)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
798
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
692
12.7 IPS |
