iPhone 16 Pro Max
Geekbench AI Score
4557
Single Precision Score
7681
Half Precision Score
6175
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 03:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3280
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9091
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18167
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15092
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.2 IPS |
|
|
Object Detection (Q)
|
94% |
2609
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6887
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8139
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13743
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9651
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36240
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30420
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5345
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7063
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5055
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7250
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7479
129.2 IPS |
