iPhone 16 Pro Max
Geekbench AI Score
4330
Single Precision Score
7414
Half Precision Score
5859
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 11:45 PM |
| Views | 2 |
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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3412
634.5 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3247
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16624
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14007
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.3 IPS |
|
|
Object Detection (HP)
|
97% |
3579
285.0 IPS |
|
|
Object Detection (Q)
|
94% |
2491
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6974
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3819
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7463
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12685
98.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8816
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18161
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34267
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28046
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7114
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4067
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6917
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
