iPhone 14 Pro Max
Geekbench AI Score
3496
Single Precision Score
6050
Half Precision Score
4899
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 16 2025 02:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1421
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6744
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
14927
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12761
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6120
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12045
93.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8206
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18717
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28262
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23633
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4585
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4608
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5851
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5838
100.9 IPS |
