iPhone 14 Pro Max
Geekbench AI Score
3545
Single Precision Score
6081
Half Precision Score
4928
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | September 26 2024 05:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.5 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2694
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6930
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15237
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12996
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6221
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12143
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8331
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18794
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28410
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23828
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4191
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3742
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4480
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
4450
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5821
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
