iPhone 14 Pro Max
Geekbench AI Score
3571
Single Precision Score
6160
Half Precision Score
4965
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | March 22 2025 12:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7155
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15375
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13226
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6054
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6219
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12295
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8339
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19054
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29118
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23999
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3749
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4581
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5864
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5913
102.2 IPS |
