iPhone 14 Pro Max
Geekbench ML Score
5446
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:59 AM |
| 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% |
1274
238.3 IPS |
|
|
Image Classification (F16)
|
100% |
5537
1.04 KIPS |
|
|
Image Classification (I8)
|
99% |
5828
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1133
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1615
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1565
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11218
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
80637
97.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
68042
82.4 IPS |
|
|
Object Detection (F32)
|
100% |
1488
111.1 IPS |
|
|
Object Detection (F16)
|
100% |
3769
281.4 IPS |
|
|
Object Detection (I8)
|
97% |
1492
111.4 IPS |
|
|
Face Detection (F32)
|
100% |
5062
60.2 IPS |
|
|
Face Detection (F16)
|
97% |
10168
120.9 IPS |
|
|
Face Detection (I8)
|
96% |
10072
119.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8715
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
37753
292.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
43012
333.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20499
27.0 IPS |
|
|
Style Transfer (F16)
|
100% |
114450
150.5 IPS |
|
|
Style Transfer (I8)
|
100% |
116793
153.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3793
135.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15571
556.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15794
564.0 IPS |
|
|
Text Classification (F32)
|
100% |
554
796.8 IPS |
|
|
Text Classification (F16)
|
100% |
776
1.11 KIPS |
|
|
Text Classification (I8)
|
96% |
336
482.7 IPS |
|
|
Machine Translation (F32)
|
100% |
624
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1798
33.1 IPS |
|
|
Machine Translation (I8)
|
99% |
659
12.1 IPS |
