iPhone 16 Pro Max
Geekbench AI Score
5763
Single Precision Score
6794
Half Precision Score
6096
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 08:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
97% |
2647
494.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3386
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4359
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15808
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16534
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15293
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
3502
277.8 IPS |
|
|
Object Detection (Q)
|
91% |
2747
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
7611
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10697
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
7350
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13481
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14500
111.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11726
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32874
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37716
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35584
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8411
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6799
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5823
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1206
20.8 IPS |
