iPhone 16 Pro Max
Geekbench AI Score
6209
Single Precision Score
7188
Half Precision Score
6905
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 25 2025 01:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3061
569.3 IPS |
|
|
Image Classification (HP)
|
100% |
2862
532.2 IPS |
|
|
Image Classification (Q)
|
96% |
3182
594.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4527
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4839
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15686
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17395
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17225
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
3546
281.3 IPS |
|
|
Object Detection (Q)
|
92% |
3489
278.5 IPS |
|
|
Face Detection (SP)
|
100% |
7608
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10994
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
8701
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13805
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15628
120.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14010
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32373
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38896
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39093
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8084
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7625
281.5 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1247
21.6 IPS |
