iPhone 16 Pro Max
Geekbench AI Score
5786
Single Precision Score
6715
Half Precision Score
6451
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 11:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2829
526.2 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.4 IPS |
|
|
Image Classification (Q)
|
96% |
3006
561.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4192
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4788
77.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4623
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14777
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17214
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3264
258.9 IPS |
|
|
Object Detection (Q)
|
92% |
2990
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
6965
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10099
120.0 IPS |
|
|
Face Detection (Q)
|
100% |
7890
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12584
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14648
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13718
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29817
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37988
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37483
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7094
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7661
282.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6522
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1162
20.1 IPS |
