iPhone 16 Pro Max
Geekbench AI Score
2821
Single Precision Score
3342
Half Precision Score
3189
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gkoblavi |
| Upload Date | October 19 2025 12:18 AM |
| Views | 4 |
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% |
2747
510.9 IPS |
|
|
Image Classification (HP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (Q)
|
96% |
2889
539.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4178
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4711
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14918
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17954
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17210
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (HP)
|
100% |
3329
264.1 IPS |
|
|
Object Detection (Q)
|
92% |
3176
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
7125
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
10450
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
8198
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12695
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15487
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13838
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30713
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38950
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37810
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7339
271.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7984
294.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6810
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5097
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5017
6.73 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.50 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.97 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.66 IPS |
