iPhone 14 Pro Max
Geekbench AI Score
4199
Single Precision Score
4574
Half Precision Score
4296
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1797
334.2 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
96% |
1572
293.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11698
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12871
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12469
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1937
153.6 IPS |
|
|
Object Detection (Q)
|
92% |
1745
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
5189
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
5072
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9037
69.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8294
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21274
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23755
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23516
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1087
18.8 IPS |
