iPhone 16 Pro Max
Geekbench AI Score
2875
Single Precision Score
3477
Half Precision Score
3252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 08:31 AM |
| Views | 5 |
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% |
2863
532.4 IPS |
|
|
Image Classification (HP)
|
100% |
3057
568.6 IPS |
|
|
Image Classification (Q)
|
96% |
3120
582.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4601
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14704
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17480
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16786
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3037
240.9 IPS |
|
|
Object Detection (HP)
|
100% |
3374
267.7 IPS |
|
|
Object Detection (Q)
|
92% |
3170
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
7032
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10293
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
7985
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12817
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14876
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13768
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30319
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38795
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38209
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8135
300.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.62 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.77 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.12 IPS |
