iPhone 14 Pro Max
Geekbench AI Score
4164
Single Precision Score
4621
Half Precision Score
4348
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gmn17 |
| Upload Date | November 20 2025 11:34 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
1616
300.6 IPS |
|
|
Image Classification (Q)
|
96% |
1607
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2841
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11752
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12850
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12507
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1928
153.0 IPS |
|
|
Object Detection (Q)
|
92% |
1775
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
5579
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
6322
75.1 IPS |
|
|
Face Detection (Q)
|
100% |
5160
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8994
69.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8299
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21235
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24284
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23713
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1140
19.7 IPS |
