iPhone 14 Pro Max
Geekbench AI Score
3521
Single Precision Score
6085
Half Precision Score
4920
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 10:36 AM |
| Views | 1 |
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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.2 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7014
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
15344
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12947
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3494
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6129
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12071
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8188
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18681
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28219
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23814
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4224
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3654
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4609
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5847
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5856
101.2 IPS |
