iPhone 16 Pro Max
Geekbench AI Score
4562
Single Precision Score
7821
Half Precision Score
6227
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 01:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.7 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9051
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18251
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15423
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7392
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14304
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9850
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20387
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37325
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30313
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5425
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6085
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4155
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7321
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7351
127.0 IPS |
