iPhone 16 Pro Max
Geekbench AI Score
5930
Single Precision Score
7057
Half Precision Score
6641
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2987
555.5 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.8 IPS |
|
|
Image Classification (Q)
|
96% |
3106
580.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4910
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14945
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17856
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17095
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3029
240.2 IPS |
|
|
Object Detection (HP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (Q)
|
92% |
3170
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
7038
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10359
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
8041
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12860
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15483
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13810
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31114
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38733
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38465
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7386
272.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8145
300.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7005
258.7 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6096
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6048
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1158
20.0 IPS |
