iPhone 14 Pro Max
Geekbench AI Score
3837
Single Precision Score
4150
Half Precision Score
3098
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1619
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (Q)
|
99% |
1598
298.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11703
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12393
14.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11087
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (Q)
|
91% |
1444
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
5257
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
4092
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8802
67.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1054
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
20946
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23247
29.9 IPS |
|
|
Style Transfer (Q)
|
100% |
23216
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4504
166.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3534
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4572
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
777
13.4 IPS |
