iPhone 14 Pro Max
Geekbench AI Score
4231
Single Precision Score
4555
Half Precision Score
4386
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 05:40 PM |
| 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% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2791
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11783
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12862
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12641
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
92% |
1791
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
5334
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
5134
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8679
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9123
70.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8316
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21278
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24225
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23708
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4951
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4825
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1169
20.2 IPS |
