iPhone 16 Pro Max
Geekbench AI Score
5756
Single Precision Score
6750
Half Precision Score
6029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | December 10 2024 08:09 PM |
| Views | 3 |
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% |
2942
547.1 IPS |
|
|
Image Classification (HP)
|
100% |
2819
524.3 IPS |
|
|
Image Classification (Q)
|
97% |
2875
536.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3419
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4333
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15527
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16373
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15533
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3228
256.1 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.7 IPS |
|
|
Object Detection (Q)
|
91% |
2832
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
7776
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
10559
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
7061
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13198
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14340
110.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12518
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32730
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39231
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36711
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8026
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8339
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6793
250.8 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
904
15.6 IPS |
