iPhone 14 Pro Max
Geekbench AI Score
4215
Single Precision Score
4568
Half Precision Score
4260
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1657
308.1 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (Q)
|
96% |
1652
308.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2799
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11646
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12677
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12153
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.8 IPS |
|
|
Object Detection (Q)
|
92% |
1656
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
5506
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
6430
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
5164
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8579
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9141
70.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8005
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20990
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23466
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23425
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4211
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4883
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4843
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1072
18.5 IPS |
