iPhone 16 Pro Max
Geekbench AI Score
5900
Single Precision Score
7077
Half Precision Score
6801
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 03:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2927
544.3 IPS |
|
|
Image Classification (HP)
|
100% |
2886
536.7 IPS |
|
|
Image Classification (Q)
|
96% |
3124
583.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14891
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17832
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17345
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3061
242.8 IPS |
|
|
Object Detection (HP)
|
100% |
3394
269.2 IPS |
|
|
Object Detection (Q)
|
92% |
3439
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
7115
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10369
123.2 IPS |
|
|
Face Detection (Q)
|
100% |
8305
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12886
99.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15055
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14316
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31245
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39039
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38619
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7256
267.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8344
308.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6978
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6191
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
