iPhone 16 Pro Max
Geekbench AI Score
4579
Single Precision Score
7755
Half Precision Score
6195
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 07:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2008
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.8 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9076
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18221
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15307
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3699
294.5 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6936
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13797
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9697
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22022
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37857
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30291
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7214
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3735
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6268
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7435
128.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7361
127.2 IPS |
