iPhone 16 Pro Max
Geekbench AI Score
5903
Single Precision Score
7155
Half Precision Score
6632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 02:04 AM |
| 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% |
2914
542.0 IPS |
|
|
Image Classification (HP)
|
100% |
2724
506.6 IPS |
|
|
Image Classification (Q)
|
96% |
3093
577.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4198
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4683
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14733
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17608
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17051
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3276
259.9 IPS |
|
|
Object Detection (HP)
|
100% |
3387
268.7 IPS |
|
|
Object Detection (Q)
|
92% |
3161
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
7083
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
10403
123.6 IPS |
|
|
Face Detection (Q)
|
100% |
8123
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12555
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15441
119.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13813
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30649
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38414
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38378
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8083
298.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6946
256.5 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6042
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1167
20.2 IPS |
