iPhone 14 Pro Max
Geekbench AI Score
3342
Single Precision Score
6182
Half Precision Score
5063
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.2 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14590
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12406
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5941
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3446
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11546
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8048
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17858
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29040
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23977
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3832
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5150
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6870
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6964
120.3 IPS |
