iPhone 16 Pro Max
Geekbench AI Score
4444
Single Precision Score
7553
Half Precision Score
6025
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 07:41 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3424
636.8 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8848
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17318
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14639
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3888
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7817
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13371
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9384
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20740
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36213
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28284
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5206
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6153
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7096
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
