iPhone 16 Pro Max
Geekbench AI Score
4589
Single Precision Score
7790
Half Precision Score
6205
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 07:46 PM |
| Views | 4 |
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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.1 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9262
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18424
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15458
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3751
298.6 IPS |
|
|
Object Detection (Q)
|
94% |
2634
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8112
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14329
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20158
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37220
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30719
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7310
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7334
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
