iPhone 16 Pro Max
Geekbench AI Score
4379
Single Precision Score
7493
Half Precision Score
5987
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1949
362.4 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (Q)
|
96% |
2313
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3206
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8606
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16929
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14295
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3629
288.9 IPS |
|
|
Object Detection (Q)
|
94% |
2567
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6678
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3839
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7700
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13057
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9137
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20480
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35148
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27741
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7059
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5069
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6095
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7145
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7214
124.7 IPS |
