iPhone 15 Pro Max
Geekbench ML Score
3581
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 22 2024 08:36 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1712
320.3 IPS |
|
|
Image Classification (F16)
|
100% |
1440
269.5 IPS |
|
|
Image Classification (I8)
|
99% |
1714
320.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1297
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1452
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1460
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14677
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15857
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15459
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1941
144.9 IPS |
|
|
Object Detection (F16)
|
100% |
1761
131.5 IPS |
|
|
Object Detection (I8)
|
97% |
1509
112.6 IPS |
|
|
Face Detection (F32)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (F16)
|
98% |
6988
83.1 IPS |
|
|
Face Detection (I8)
|
97% |
8436
100.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12106
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13818
107.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12738
98.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29050
38.2 IPS |
|
|
Style Transfer (F16)
|
100% |
36382
47.9 IPS |
|
|
Style Transfer (I8)
|
100% |
36306
47.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6115
218.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7413
264.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7011
250.4 IPS |
|
|
Text Classification (F32)
|
100% |
466
670.4 IPS |
|
|
Text Classification (F16)
|
100% |
502
721.5 IPS |
|
|
Text Classification (I8)
|
96% |
317
455.2 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
798
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
649
11.9 IPS |
