iPhone 16 Pro Max
Geekbench AI Score
6082
Single Precision Score
7037
Half Precision Score
6838
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:32 AM |
| Views | 3 |
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% |
2932
545.3 IPS |
|
|
Image Classification (HP)
|
100% |
2759
513.2 IPS |
|
|
Image Classification (Q)
|
96% |
3114
581.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4400
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4735
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15461
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16955
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16776
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (Q)
|
92% |
3331
265.9 IPS |
|
|
Face Detection (SP)
|
100% |
7562
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
10522
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
8192
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13401
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15209
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14317
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32658
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38386
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38404
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7977
294.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8242
304.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7568
279.4 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1366
23.6 IPS |
