iPhone 16 Pro Max
Geekbench AI Score
5903
Single Precision Score
7095
Half Precision Score
6677
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dd1989 |
| Upload Date | August 03 2025 03:43 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% |
2955
549.5 IPS |
|
|
Image Classification (HP)
|
100% |
2786
518.1 IPS |
|
|
Image Classification (Q)
|
96% |
3103
579.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4871
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4704
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14731
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17987
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17090
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
3332
264.3 IPS |
|
|
Object Detection (Q)
|
92% |
3178
253.7 IPS |
|
|
Face Detection (SP)
|
100% |
7107
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
10351
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
8120
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12979
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15478
119.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13924
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30648
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38646
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37834
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7354
271.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8162
301.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6804
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
