iPhone 14 Pro Max
Geekbench ML Score
5115
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 12:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1283
240.0 IPS |
|
|
Image Classification (F16)
|
100% |
5344
1000.0 IPS |
|
|
Image Classification (I8)
|
99% |
5565
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1160
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1597
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1612
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
11365
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
79884
96.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
82737
100.2 IPS |
|
|
Object Detection (F32)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (F16)
|
100% |
3896
290.8 IPS |
|
|
Object Detection (I8)
|
97% |
1624
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
5102
60.7 IPS |
|
|
Face Detection (F16)
|
97% |
10006
119.0 IPS |
|
|
Face Detection (I8)
|
96% |
10415
123.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8669
67.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
37631
291.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
39689
307.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21004
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
112393
147.8 IPS |
|
|
Style Transfer (I8)
|
100% |
111645
146.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4307
153.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17219
614.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17058
609.2 IPS |
|
|
Text Classification (F32)
|
100% |
325
467.7 IPS |
|
|
Text Classification (F16)
|
100% |
333
477.9 IPS |
|
|
Text Classification (I8)
|
96% |
239
342.9 IPS |
|
|
Machine Translation (F32)
|
100% |
603
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1078
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
587
10.8 IPS |
