iPhone 14 Pro Max
Geekbench ML Score
6195
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:57 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1265
236.7 IPS |
|
|
Image Classification (F16)
|
100% |
5544
1.04 KIPS |
|
|
Image Classification (I8)
|
99% |
6063
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1350
22.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1632
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11256
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81463
98.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
69073
83.6 IPS |
|
|
Object Detection (F32)
|
100% |
1799
134.3 IPS |
|
|
Object Detection (F16)
|
100% |
3783
282.4 IPS |
|
|
Object Detection (I8)
|
97% |
1684
125.7 IPS |
|
|
Face Detection (F32)
|
100% |
4822
57.3 IPS |
|
|
Face Detection (F16)
|
97% |
11648
138.5 IPS |
|
|
Face Detection (I8)
|
96% |
11789
140.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8650
67.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
34602
268.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
43854
340.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20280
26.7 IPS |
|
|
Style Transfer (F16)
|
100% |
111509
146.7 IPS |
|
|
Style Transfer (I8)
|
100% |
111424
146.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4396
157.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17128
611.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17380
620.7 IPS |
|
|
Text Classification (F32)
|
100% |
2437
3.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1945
2.80 KIPS |
|
|
Text Classification (I8)
|
96% |
1911
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
475
8.74 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
555
10.2 IPS |
