iPhone 16 Pro Max
Geekbench AI Score
5958
Single Precision Score
7122
Half Precision Score
6687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 05:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2942
547.2 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.6 IPS |
|
|
Image Classification (Q)
|
96% |
3109
580.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4362
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15026
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18178
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17443
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3107
246.5 IPS |
|
|
Object Detection (HP)
|
100% |
3402
269.9 IPS |
|
|
Object Detection (Q)
|
92% |
3208
256.0 IPS |
|
|
Face Detection (SP)
|
100% |
7230
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
10507
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
8107
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12897
99.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15240
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14137
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31389
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39447
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38735
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7462
275.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8256
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7020
259.2 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5960
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1168
20.2 IPS |
