iPhone 16 Pro Max
Geekbench AI Score
5877
Single Precision Score
7189
Half Precision Score
6663
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 03:50 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% |
2975
553.3 IPS |
|
|
Image Classification (HP)
|
100% |
3128
581.8 IPS |
|
|
Image Classification (Q)
|
96% |
3106
579.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14940
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17704
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17145
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (HP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (Q)
|
92% |
3105
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
7151
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
10341
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
7952
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12635
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14944
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13903
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30825
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38583
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38416
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7175
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8020
296.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6871
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6375
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1198
20.7 IPS |
