iPhone 16 Pro Max
Geekbench AI Score
4600
Single Precision Score
7832
Half Precision Score
6232
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 07:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9225
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18358
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15605
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7392
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4151
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8200
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14256
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9904
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20468
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38020
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30882
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5381
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7338
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5222
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7245
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7286
125.9 IPS |
