iPhone 15 Pro Max
Geekbench ML Score
8878
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 04:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1489
278.7 IPS |
|
|
Image Classification (F16)
|
100% |
9932
1.86 KIPS |
|
|
Image Classification (I8)
|
99% |
11372
2.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1355
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2148
35.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2112
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14795
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
98074
118.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
98609
119.4 IPS |
|
|
Object Detection (F32)
|
100% |
1545
115.4 IPS |
|
|
Object Detection (F16)
|
100% |
5610
418.8 IPS |
|
|
Object Detection (I8)
|
97% |
1608
120.0 IPS |
|
|
Face Detection (F32)
|
100% |
5817
69.2 IPS |
|
|
Face Detection (F16)
|
97% |
19337
229.9 IPS |
|
|
Face Detection (I8)
|
96% |
19397
230.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12422
96.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
54020
418.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
52744
409.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29568
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
130007
171.0 IPS |
|
|
Style Transfer (I8)
|
100% |
131370
172.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7206
257.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31173
1.11 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32584
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2919
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
5052
7.26 KIPS |
|
|
Text Classification (I8)
|
96% |
5015
7.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
