iPhone 16 Pro Max
Geekbench AI Score
5697
Single Precision Score
6623
Half Precision Score
6085
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 05:58 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% |
2993
556.6 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
97% |
2813
524.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3334
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4382
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15624
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16193
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15406
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
3398
269.5 IPS |
|
|
Object Detection (Q)
|
91% |
3075
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
7492
89.0 IPS |
|
|
Face Detection (HP)
|
100% |
10642
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
7096
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13263
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14285
110.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12540
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31945
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39010
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35645
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8061
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8451
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6843
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5861
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
943
16.3 IPS |
