iPhone 14 Pro Max
Geekbench AI Score
3876
Single Precision Score
4280
Half Precision Score
3740
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1725
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
1532
284.8 IPS |
|
|
Image Classification (Q)
|
97% |
1464
273.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11689
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12349
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11341
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (Q)
|
91% |
1590
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4055
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8735
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7123
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21162
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23685
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22123
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4724
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3817
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4526
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
