iPhone 16 Pro Max
Geekbench AI Score
5841
Single Precision Score
7126
Half Precision Score
6740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:55 AM |
| Views | 1 |
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% |
2806
521.8 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.1 IPS |
|
|
Image Classification (Q)
|
96% |
3112
581.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4176
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4691
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14850
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17850
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17197
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3078
244.2 IPS |
|
|
Object Detection (HP)
|
100% |
3692
292.9 IPS |
|
|
Object Detection (Q)
|
92% |
3417
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
6825
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
10246
121.7 IPS |
|
|
Face Detection (Q)
|
100% |
7997
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12663
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15019
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13861
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30883
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38512
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38244
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7329
270.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8053
297.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6904
254.9 IPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6337
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1221
21.1 IPS |
