iPhone 16 Pro Max
Geekbench AI Score
4422
Single Precision Score
7410
Half Precision Score
5902
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1921
357.3 IPS |
|
|
Image Classification (HP)
|
100% |
3320
617.4 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3212
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8671
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16838
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14112
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3470
276.2 IPS |
|
|
Object Detection (Q)
|
94% |
2482
197.8 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6668
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3810
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7702
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13083
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9079
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20941
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34544
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27479
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7116
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4888
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7081
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.2 IPS |
