iPhone 16 Pro Max
Geekbench AI Score
4441
Single Precision Score
7662
Half Precision Score
6124
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Lee449409 |
| Upload Date | December 03 2024 03:23 PM |
| Views | 12 |
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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.5 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8654
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17925
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15154
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7463
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4153
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7571
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13762
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9626
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23232
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36748
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30126
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6772
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6928
119.7 IPS |
