iPhone 16 Pro Max
Geekbench AI Score
5937
Single Precision Score
7075
Half Precision Score
6616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | waltersmat4444 |
| Upload Date | October 17 2025 08:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2985
555.0 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
3052
569.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4861
78.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4692
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14815
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17526
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16991
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
3379
268.0 IPS |
|
|
Object Detection (Q)
|
92% |
2945
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
7207
85.6 IPS |
|
|
Face Detection (HP)
|
100% |
10338
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
8049
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12606
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14968
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14136
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30594
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39109
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38457
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7395
273.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8139
300.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6886
254.3 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1228
21.2 IPS |
