iPhone 14 Pro Max
Geekbench AI Score
4199
Single Precision Score
4635
Half Precision Score
4288
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | maksimmik |
| Upload Date | October 20 2025 11:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (Q)
|
96% |
1591
297.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2784
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11768
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12938
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (Q)
|
92% |
1801
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
5550
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
6140
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
5060
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8695
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9157
70.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8341
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21242
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23881
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23721
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4922
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4343
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4810
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4775
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1018
17.6 IPS |
