iPhone 14 Pro Max
Geekbench AI Score
3848
Single Precision Score
4239
Half Precision Score
3140
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:18 PM |
| 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% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
1540
286.4 IPS |
|
|
Image Classification (Q)
|
99% |
1647
307.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11725
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12283
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11080
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (Q)
|
91% |
1459
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8496
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8903
68.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
1180
9.12 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23057
29.6 IPS |
|
|
Style Transfer (Q)
|
100% |
23581
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4689
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3476
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4580
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4553
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
778
13.5 IPS |
