iPhone 14 Pro Max
Geekbench AI Score
3520
Single Precision Score
6196
Half Precision Score
5033
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 24 2025 10:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
2585
480.8 IPS |
|
|
Image Classification (Q)
|
96% |
1767
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6683
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15340
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12654
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5971
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6130
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11549
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8003
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18384
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29771
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24483
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4133
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3902
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4953
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6617
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.8 IPS |
