iPhone 16 Pro Max
Geekbench AI Score
4554
Single Precision Score
7736
Half Precision Score
6171
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:56 PM |
| Views | 1 |
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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3377
627.9 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9040
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17711
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15126
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7372
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4124
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7997
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13916
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9672
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19826
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36826
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30251
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7313
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5118
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7338
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7339
126.8 IPS |
