iPhone 16 Pro Max
Geekbench AI Score
4249
Single Precision Score
7425
Half Precision Score
5853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | December 31 2024 01:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2240
418.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3250
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7858
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
16315
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13831
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.3 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.1 IPS |
|
|
Object Detection (Q)
|
94% |
2529
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
7028
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7029
54.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13075
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9052
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21773
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34873
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28145
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6837
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4650
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6885
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6884
119.0 IPS |
