iPhone 16 Pro Max
Geekbench AI Score
5710
Single Precision Score
6533
Half Precision Score
6029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2965
551.3 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.7 IPS |
|
|
Image Classification (Q)
|
97% |
2819
526.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3390
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4431
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4414
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15736
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16456
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15716
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
3466
274.9 IPS |
|
|
Object Detection (Q)
|
91% |
2993
239.2 IPS |
|
|
Face Detection (SP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10981
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
7603
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14003
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15212
117.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12319
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32698
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39326
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37251
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6516
240.6 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
819
14.2 IPS |
