iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
6040
Half Precision Score
4927
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1729
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6978
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
15074
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12967
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6148
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12076
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8322
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18810
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28052
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23665
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4227
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4682
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5869
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5855
101.2 IPS |
