iPhone 14 Pro Max
Geekbench AI Score
3467
Single Precision Score
6177
Half Precision Score
4976
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 05:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14965
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12639
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5923
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3430
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11576
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7963
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18190
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29442
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24077
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3828
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4985
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6610
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6485
112.1 IPS |
