iPhone 14 Pro Max
Geekbench AI Score
3542
Single Precision Score
6051
Half Precision Score
4916
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:39 AM |
| Views | 2 |
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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
1726
322.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6982
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15108
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12974
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12148
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8257
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18775
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28123
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23682
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4559
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5844
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5887
101.7 IPS |
