iPhone 16 Pro Max
Geekbench AI Score
3757
Single Precision Score
6215
Half Precision Score
4940
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1890
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
3180
591.3 IPS |
|
|
Image Classification (Q)
|
96% |
2056
384.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7507
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
15052
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12282
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
2880
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
1989
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5677
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3358
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6106
47.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
10553
81.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7417
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15737
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26675
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23525
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4232
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5695
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5240
90.6 IPS |
