iPhone 16 Pro Max
Geekbench AI Score
6057
Single Precision Score
7064
Half Precision Score
6746
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zypher666 |
| Upload Date | April 07 2025 12:46 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2882
536.0 IPS |
|
|
Image Classification (HP)
|
100% |
2722
506.1 IPS |
|
|
Image Classification (Q)
|
96% |
3137
585.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4929
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4742
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15411
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16243
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15818
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3722
295.2 IPS |
|
|
Object Detection (Q)
|
92% |
3393
270.8 IPS |
|
|
Face Detection (SP)
|
100% |
7675
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10761
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
8553
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13381
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14484
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13762
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32885
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39404
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37469
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8019
296.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8480
313.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7529
278.0 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
