iPhone 16 Pro Max
Geekbench AI Score
5992
Single Precision Score
7049
Half Precision Score
6677
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 10:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (HP)
|
100% |
2738
509.1 IPS |
|
|
Image Classification (Q)
|
96% |
3097
578.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4320
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4703
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14889
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18026
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17251
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.5 IPS |
|
|
Object Detection (HP)
|
100% |
3370
267.3 IPS |
|
|
Object Detection (Q)
|
92% |
3211
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
7276
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
10446
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
8142
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12778
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15083
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14215
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31239
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39084
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37878
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7461
275.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8120
299.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6964
257.2 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6246
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6051
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1183
20.4 IPS |
