iPhone 14 Pro Max
Geekbench AI Score
3498
Single Precision Score
6088
Half Precision Score
4933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gavinwky |
| Upload Date | September 21 2024 07:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15041
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12797
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5948
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6249
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12271
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8349
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18687
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29048
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24049
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3684
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4594
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4630
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5804
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5871
101.5 IPS |
