iPhone 14 Pro Max
Geekbench AI Score
3541
Single Precision Score
6205
Half Precision Score
5047
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 04:56 AM |
| Views | 33 |
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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
2546
473.5 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7109
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15708
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13312
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5958
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6096
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11626
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7922
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19102
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29684
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24464
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2720
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4891
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6668
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6674
115.3 IPS |
