iPhone 14 Pro Max
Geekbench AI Score
3876
Single Precision Score
4275
Half Precision Score
3734
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bormot |
| Upload Date | December 06 2024 11:03 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1658
308.4 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (Q)
|
97% |
1454
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2540
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11701
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11412
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (Q)
|
91% |
1552
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
4063
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8644
66.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7208
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21101
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23687
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21959
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4846
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4606
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
