iPhone 14 Pro Max
Geekbench AI Score
3418
Single Precision Score
6284
Half Precision Score
5136
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TTV |
| Upload Date | October 31 2025 01:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.3 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6615
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15643
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13432
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3498
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5970
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11710
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8167
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18607
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29327
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24362
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5222
192.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3948
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7180
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6981
120.6 IPS |
