iPhone 14 Pro Max
Geekbench AI Score
4160
Single Precision Score
4603
Half Precision Score
4345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1732
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.6 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2857
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11688
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12831
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (Q)
|
92% |
1785
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
6186
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
5200
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8792
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9137
70.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8397
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21186
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24192
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23498
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5106
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
