iPhone 16 Pro Max
Geekbench AI Score
5673
Single Precision Score
6701
Half Precision Score
6022
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 01:05 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% |
2978
553.8 IPS |
|
|
Image Classification (HP)
|
100% |
2765
514.2 IPS |
|
|
Image Classification (Q)
|
97% |
2913
543.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4411
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15631
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16448
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15500
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (Q)
|
91% |
2870
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
7548
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
10736
127.6 IPS |
|
|
Face Detection (Q)
|
100% |
7112
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13203
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14454
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12602
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32668
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39447
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35256
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7962
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8291
306.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6788
250.6 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
870
15.0 IPS |
