[iOS 18.0 beta 6] [LPM] iPhone 14 Pro Max iPhone 14 Pro Max
Geekbench AI Score
3217
Single Precision Score
3718
Half Precision Score
2715
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | August 15 2024 10:34 PM |
| Views | 13 |
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% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
1136
211.2 IPS |
|
|
Image Classification (Q)
|
99% |
1257
234.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2555
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11219
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11895
13.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
10739
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (Q)
|
91% |
1497
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
5760
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3907
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8459
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8995
69.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
1023
7.91 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (Q)
|
100% |
23153
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4470
165.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3466
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2113
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
624
10.8 IPS |
