iPhone 16 Pro Max
Geekbench AI Score
4488
Single Precision Score
7680
Half Precision Score
6077
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 10:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17347
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14218
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3728
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7328
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4046
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7799
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13635
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9567
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19217
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36052
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29896
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7357
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7284
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7230
124.9 IPS |
