iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
6049
Half Precision Score
4923
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | March 28 2025 11:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2503
465.5 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6945
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15058
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12863
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6107
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12071
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8208
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28112
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23945
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4861
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4705
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4711
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5877
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5845
101.0 IPS |
