iPhone 14 Pro Max
Geekbench AI Score
3364
Single Precision Score
6178
Half Precision Score
5041
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2585
480.6 IPS |
|
|
Image Classification (Q)
|
96% |
1791
334.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6356
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
15315
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13054
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2928
233.1 IPS |
|
|
Object Detection (Q)
|
94% |
2093
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11492
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8118
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18005
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28863
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24012
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5158
190.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4575
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4489
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7006
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6864
118.6 IPS |
