iPhone 15 Pro Max
Geekbench ML Score
5926
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:54 AM |
| Views | 13 |
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% |
1623
303.7 IPS |
|
|
Image Classification (F16)
|
100% |
6221
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6900
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1746
29.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1776
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14830
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
82155
99.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
85317
103.3 IPS |
|
|
Object Detection (F32)
|
100% |
1517
113.3 IPS |
|
|
Object Detection (F16)
|
100% |
3918
292.5 IPS |
|
|
Object Detection (I8)
|
97% |
1568
117.1 IPS |
|
|
Face Detection (F32)
|
100% |
6186
73.6 IPS |
|
|
Face Detection (F16)
|
97% |
10531
125.2 IPS |
|
|
Face Detection (I8)
|
96% |
10540
125.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12306
95.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
38043
295.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
40846
316.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29738
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
117096
154.0 IPS |
|
|
Style Transfer (I8)
|
100% |
114880
151.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6400
228.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17476
624.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17495
624.8 IPS |
|
|
Text Classification (F32)
|
100% |
455
653.9 IPS |
|
|
Text Classification (F16)
|
100% |
487
700.0 IPS |
|
|
Text Classification (I8)
|
96% |
301
432.5 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1540
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
674
12.4 IPS |
