iPhone 14 Pro Max
Geekbench AI Score
4141
Single Precision Score
4573
Half Precision Score
4339
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 26 2026 05:26 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (Q)
|
96% |
1682
314.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11772
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12824
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12435
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1878
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
1903
150.9 IPS |
|
|
Object Detection (Q)
|
92% |
1798
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
5618
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
6144
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
5002
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9039
69.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8311
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21222
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23751
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23690
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4719
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1109
19.2 IPS |
