iPhone 16 Pro Max
Geekbench AI Score
4402
Single Precision Score
7522
Half Precision Score
5940
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 06:31 PM |
| 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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
3407
633.6 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8538
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16900
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14458
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2559
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7220
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
3960
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7687
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13468
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8682
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18299
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34887
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28631
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6834
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6952
120.1 IPS |
