iPhone 14 Pro Max
Geekbench AI Score
3526
Single Precision Score
6212
Half Precision Score
5027
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.6 IPS |
|
|
Image Classification (Q)
|
96% |
1751
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2625
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7045
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15804
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13308
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6158
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11533
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7908
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19153
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29798
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24463
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3860
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4766
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6653
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6641
114.8 IPS |
