iPhone 16 Pro Max
Geekbench AI Score
3537
Single Precision Score
26902
Half Precision Score
36249
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 12:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
12964
2.41 KIPS |
|
|
Image Classification (Q)
|
97% |
16559
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14380
233.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19396
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7953
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
97864
114.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
186697
218.8 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
13870
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17636
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
28450
338.0 IPS |
|
|
Face Detection (Q)
|
100% |
38053
452.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6756
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
81082
624.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
132825
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
18539
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
175456
225.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220199
284.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42860
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66814
2.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5395
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8296
142.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9234
159.6 IPS |
