iPhone 14 Pro Max
Geekbench AI Score
3522
Single Precision Score
6096
Half Precision Score
4937
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 11:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.0 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2695
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6848
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15217
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13015
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6056
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3507
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12255
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8291
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18862
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28370
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23765
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4219
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4564
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5889
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5870
101.4 IPS |
