iPhone 16 Pro Max
Geekbench AI Score
4631
Single Precision Score
7750
Half Precision Score
6226
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Hgors |
| Upload Date | August 12 2025 10:55 AM |
| Views | 7 |
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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3473
646.0 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9374
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15427
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7051
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
4024
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8147
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13726
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9663
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22097
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37785
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31179
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7153
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6150
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7171
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7333
126.7 IPS |
