iPhone 16 Pro Max
Geekbench AI Score
6121
Single Precision Score
7052
Half Precision Score
6788
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2969
552.2 IPS |
|
|
Image Classification (HP)
|
100% |
2733
508.2 IPS |
|
|
Image Classification (Q)
|
96% |
3038
567.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4728
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15535
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17009
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16748
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (Q)
|
92% |
3401
271.4 IPS |
|
|
Face Detection (SP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
10602
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
8470
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13464
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14774
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13905
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32719
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38415
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38637
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7992
295.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8120
299.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7494
276.7 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
