iPhone 16 Pro Max
Geekbench AI Score
3988
Single Precision Score
6746
Half Precision Score
5439
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 02:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.4 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3115
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8215
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16432
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13892
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.0 IPS |
|
|
Object Detection (HP)
|
97% |
3552
282.7 IPS |
|
|
Object Detection (Q)
|
94% |
2432
193.8 IPS |
|
|
Face Detection (SP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3755
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6636
51.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12837
99.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8884
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13491
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35024
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22660
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7048
260.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4885
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2738
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4184
72.3 IPS |
