iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
6074
Half Precision Score
4944
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 27 2024 03:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7145
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15267
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13044
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6247
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12174
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8231
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18811
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28141
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23698
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4201
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4644
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4692
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5947
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
