iPhone 16 Pro Max
Geekbench AI Score
5881
Single Precision Score
7026
Half Precision Score
6646
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | September 21 2025 01:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2800
520.8 IPS |
|
|
Image Classification (HP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (Q)
|
96% |
3048
569.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4138
67.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4871
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17927
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17078
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3013
239.0 IPS |
|
|
Object Detection (HP)
|
100% |
3330
264.1 IPS |
|
|
Object Detection (Q)
|
92% |
3142
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
7069
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
10460
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8195
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12554
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14974
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14174
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31110
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39113
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37317
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8154
301.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6942
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1185
20.5 IPS |
