iPhone 16 Pro Max
Geekbench AI Score
5896
Single Precision Score
7042
Half Precision Score
6623
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 02:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2898
538.9 IPS |
|
|
Image Classification (HP)
|
100% |
2924
543.8 IPS |
|
|
Image Classification (Q)
|
96% |
3085
576.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4716
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14973
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17945
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17134
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3036
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
92% |
3158
252.1 IPS |
|
|
Face Detection (SP)
|
100% |
6962
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
10320
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
7952
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12704
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14909
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13766
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30597
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38085
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37340
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7319
270.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8133
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6862
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1209
20.9 IPS |
