iPhone 16 Pro Max
Geekbench AI Score
4572
Single Precision Score
7775
Half Precision Score
6140
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9115
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17966
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15181
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4104
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14229
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9596
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19978
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37408
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29503
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7298
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7318
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7290
126.0 IPS |
