iPhone 14 Pro Max
Geekbench AI Score
3538
Single Precision Score
6078
Half Precision Score
4925
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:57 AM |
| Views | 1 |
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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6765
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15045
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12879
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3441
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6220
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12209
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8275
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18885
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28765
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23793
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3760
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4601
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4605
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5729
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5783
99.9 IPS |
