iPhone 16 Pro Max
Geekbench AI Score
4342
Single Precision Score
7565
Half Precision Score
6033
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 10:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8298
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
17304
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14542
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.8 IPS |
|
|
Object Detection (HP)
|
97% |
3736
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7279
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7394
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13454
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9434
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23041
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35915
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29546
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5402
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6906
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6907
119.4 IPS |
