iPhone 14 Pro Max
Geekbench AI Score
3892
Single Precision Score
4263
Half Precision Score
3625
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | October 12 2024 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (Q)
|
97% |
1154
215.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11684
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12271
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11326
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (Q)
|
91% |
1459
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
6260
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
4150
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9309
71.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6762
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20840
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23019
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21850
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3725
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4688
6.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
783
13.5 IPS |
