iPhone 14 Pro Max
Geekbench AI Score
3520
Single Precision Score
6174
Half Precision Score
5019
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
2570
478.0 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7033
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15468
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13288
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2900
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5997
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11478
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7953
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19025
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29714
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24476
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3838
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6590
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6527
112.8 IPS |
