iPhone 16 Pro Max
Geekbench AI Score
5902
Single Precision Score
7055
Half Precision Score
6552
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:19 PM |
| Views | 1 |
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% |
2974
553.0 IPS |
|
|
Image Classification (HP)
|
100% |
2670
496.5 IPS |
|
|
Image Classification (Q)
|
96% |
3072
573.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4826
78.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4638
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14791
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17544
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16781
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3065
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
3678
291.7 IPS |
|
|
Object Detection (Q)
|
92% |
3128
249.7 IPS |
|
|
Face Detection (SP)
|
100% |
6968
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10220
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
7825
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12677
97.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14848
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13401
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30992
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38484
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37664
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7346
271.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8099
299.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6873
253.8 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1179
20.4 IPS |
