iPhone 16 Pro Max
Geekbench AI Score
4367
Single Precision Score
7563
Half Precision Score
5956
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 02:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.5 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2950
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8187
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
17029
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14531
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2040
161.8 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
7243
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7264
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13815
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9304
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22894
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35980
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29767
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6839
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6959
120.3 IPS |
