iPhone 16 Pro Max
Geekbench AI Score
5994
Single Precision Score
7078
Half Precision Score
6669
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | August 17 2025 03:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
2718
505.4 IPS |
|
|
Image Classification (HP)
|
100% |
2874
534.6 IPS |
|
|
Image Classification (Q)
|
96% |
2872
536.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15498
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17105
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16717
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3668
291.0 IPS |
|
|
Object Detection (Q)
|
92% |
3137
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
7496
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
10590
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
8487
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13658
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14779
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13761
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32694
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38373
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38551
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8007
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8282
305.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7522
277.8 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5916
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1226
21.2 IPS |
