iPhone 15 Pro Max
Geekbench ML Score
6022
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:05 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1282
239.8 IPS |
|
|
Image Classification (F16)
|
100% |
6228
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6972
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1380
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1811
30.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1781
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14882
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
82374
99.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
86115
104.3 IPS |
|
|
Object Detection (F32)
|
100% |
1512
112.9 IPS |
|
|
Object Detection (F16)
|
100% |
3907
291.7 IPS |
|
|
Object Detection (I8)
|
97% |
1598
119.3 IPS |
|
|
Face Detection (F32)
|
100% |
6357
75.6 IPS |
|
|
Face Detection (F16)
|
97% |
10547
125.4 IPS |
|
|
Face Detection (I8)
|
96% |
10596
126.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12396
96.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
35583
275.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
49825
386.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29896
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
117908
155.1 IPS |
|
|
Style Transfer (I8)
|
100% |
123063
161.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7078
252.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18475
659.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19237
687.0 IPS |
|
|
Text Classification (F32)
|
100% |
466
669.2 IPS |
|
|
Text Classification (F16)
|
100% |
523
752.1 IPS |
|
|
Text Classification (I8)
|
96% |
309
443.9 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
672
12.4 IPS |
