iPhone 14 Pro Max
Geekbench AI Score
3547
Single Precision Score
17286
Half Precision Score
19034
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10114
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
10217
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9814
159.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
10081
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
90966
106.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
96564
113.3 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
11725
930.0 IPS |
|
|
Object Detection (Q)
|
91% |
14637
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
17854
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
30381
361.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6252
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59329
457.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
66488
514.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18768
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
130965
168.4 IPS |
|
|
Style Transfer (Q)
|
100% |
129806
166.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32983
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
35495
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (Q)
|
93% |
1927
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2391
41.3 IPS |
