iPhone 14 Pro Max
Geekbench ML Score
5163
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 04:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1282
239.8 IPS |
|
|
Image Classification (F16)
|
100% |
5500
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
5605
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1156
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1597
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1641
27.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10994
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
79075
95.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
66843
80.9 IPS |
|
|
Object Detection (F32)
|
100% |
1432
106.9 IPS |
|
|
Object Detection (F16)
|
100% |
3521
262.8 IPS |
|
|
Object Detection (I8)
|
97% |
1431
106.8 IPS |
|
|
Face Detection (F32)
|
100% |
5075
60.3 IPS |
|
|
Face Detection (F16)
|
97% |
10004
118.9 IPS |
|
|
Face Detection (I8)
|
96% |
10430
124.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9205
71.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
35863
278.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
43759
339.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20224
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
117548
154.6 IPS |
|
|
Style Transfer (I8)
|
100% |
115264
151.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4212
150.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17287
617.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16415
586.2 IPS |
|
|
Text Classification (F32)
|
100% |
362
520.3 IPS |
|
|
Text Classification (F16)
|
100% |
559
803.9 IPS |
|
|
Text Classification (I8)
|
96% |
257
369.8 IPS |
|
|
Machine Translation (F32)
|
100% |
595
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1073
19.7 IPS |
|
|
Machine Translation (I8)
|
99% |
587
10.8 IPS |
