iPhone 15 Pro Max
Geekbench ML Score
5927
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1255
234.8 IPS |
|
|
Image Classification (F16)
|
100% |
6264
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6797
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1404
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1760
29.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1788
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14768
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83056
100.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
86201
104.4 IPS |
|
|
Object Detection (F32)
|
100% |
1505
112.4 IPS |
|
|
Object Detection (F16)
|
100% |
3979
297.1 IPS |
|
|
Object Detection (I8)
|
97% |
1683
125.6 IPS |
|
|
Face Detection (F32)
|
100% |
6179
73.5 IPS |
|
|
Face Detection (F16)
|
97% |
10567
125.6 IPS |
|
|
Face Detection (I8)
|
96% |
10554
125.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12395
96.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
37821
293.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
40946
317.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28546
37.5 IPS |
|
|
Style Transfer (F16)
|
100% |
123089
161.9 IPS |
|
|
Style Transfer (I8)
|
100% |
121239
159.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6351
226.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17336
619.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17949
641.0 IPS |
|
|
Text Classification (F32)
|
100% |
466
669.7 IPS |
|
|
Text Classification (F16)
|
100% |
491
706.1 IPS |
|
|
Text Classification (I8)
|
96% |
303
435.5 IPS |
|
|
Machine Translation (F32)
|
100% |
749
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
683
12.6 IPS |
