iPhone 16 Pro Max
Geekbench AI Score
4437
Single Precision Score
7580
Half Precision Score
6050
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:43 PM |
| Views | 1 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3446
640.8 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2758
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9166
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18202
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14353
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
97% |
3553
282.8 IPS |
|
|
Object Detection (Q)
|
94% |
2560
204.1 IPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3946
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7654
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13606
105.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9490
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20496
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36137
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29787
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7068
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6338
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6867
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
