iPhone 16 Pro Max
Geekbench AI Score
5706
Single Precision Score
6648
Half Precision Score
5999
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 10:37 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% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
2425
451.0 IPS |
|
|
Image Classification (Q)
|
97% |
2842
530.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3405
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4392
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4340
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15618
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16493
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15528
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3490
276.8 IPS |
|
|
Object Detection (Q)
|
91% |
2852
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
7572
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10623
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
7077
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13296
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14343
110.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12239
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32886
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39209
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
35417
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8043
297.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8326
307.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6725
248.3 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
924
16.0 IPS |
