iPhone 16 Pro Max
Geekbench AI Score
4618
Single Precision Score
7707
Half Precision Score
6199
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3275
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9409
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18441
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15521
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
6952
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13814
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9712
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22695
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38033
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30709
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5928
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4068
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7267
125.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7329
126.7 IPS |
