iPhone 14 Pro Max
Geekbench AI Score
3341
Single Precision Score
6197
Half Precision Score
5070
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
96% |
1794
334.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2661
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
14994
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12699
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2100
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3484
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11572
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8028
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17903
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28848
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23885
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4850
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6930
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6984
120.7 IPS |
