iPhone 16 Pro Max
Geekbench AI Score
6045
Single Precision Score
6978
Half Precision Score
6784
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 04:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2863
532.5 IPS |
|
|
Image Classification (HP)
|
100% |
2445
454.8 IPS |
|
|
Image Classification (Q)
|
96% |
3062
571.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4388
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4891
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15575
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17023
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16798
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (Q)
|
92% |
3379
269.7 IPS |
|
|
Face Detection (SP)
|
100% |
7499
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
10717
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
8496
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13433
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14808
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13847
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32422
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38271
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37847
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7944
293.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8251
304.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7583
280.0 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5820
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1283
22.2 IPS |
