iPhone 14 Pro Max
Geekbench ML Score
5224
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 03:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1333
249.5 IPS |
|
|
Image Classification (F16)
|
100% |
5371
1.01 KIPS |
|
|
Image Classification (I8)
|
99% |
5967
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1160
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1603
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1640
27.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10911
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
78045
94.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
64402
78.0 IPS |
|
|
Object Detection (F32)
|
100% |
1797
134.2 IPS |
|
|
Object Detection (F16)
|
100% |
3877
289.5 IPS |
|
|
Object Detection (I8)
|
97% |
1450
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (F16)
|
97% |
10079
119.8 IPS |
|
|
Face Detection (I8)
|
96% |
10384
123.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8439
65.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
36531
283.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
43932
340.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19953
26.2 IPS |
|
|
Style Transfer (F16)
|
100% |
114661
150.8 IPS |
|
|
Style Transfer (I8)
|
100% |
116514
153.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4269
152.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17004
607.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16687
596.0 IPS |
|
|
Text Classification (F32)
|
100% |
362
520.9 IPS |
|
|
Text Classification (F16)
|
100% |
356
511.8 IPS |
|
|
Text Classification (I8)
|
96% |
421
605.4 IPS |
|
|
Machine Translation (F32)
|
100% |
591
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1098
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
588
10.8 IPS |
