iPhone 14 Pro Max
Geekbench AI Score
3534
Single Precision Score
6066
Half Precision Score
5266
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:40 AM |
| Views | 10 |
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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (Q)
|
99% |
2504
467.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6995
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
15133
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12924
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6221
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12200
94.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
12120
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18793
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28170
36.2 IPS |
|
|
Style Transfer (Q)
|
100% |
28108
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3639
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4587
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4555
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5904
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5840
100.9 IPS |
