iPhone 14 Pro Max
Geekbench AI Score
4118
Single Precision Score
4538
Half Precision Score
4317
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 10:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11621
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12837
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12492
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
1932
153.3 IPS |
|
|
Object Detection (Q)
|
92% |
1734
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4969
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9051
69.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8318
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21239
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23820
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23730
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4330
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
