iPhone 14 Pro Max
Geekbench AI Score
3520
Single Precision Score
6009
Half Precision Score
4885
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2491
463.2 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7017
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15137
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12974
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2051
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3484
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6135
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12146
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8202
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18843
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28622
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23707
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4183
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3613
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4402
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4385
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5804
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5820
100.6 IPS |
