iPhone 16 Pro Max
Geekbench AI Score
5866
Single Precision Score
6828
Half Precision Score
6105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 01:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
3041
565.5 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.6 IPS |
|
|
Image Classification (Q)
|
97% |
2897
540.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4414
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15872
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16558
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15706
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (HP)
|
100% |
3580
283.9 IPS |
|
|
Object Detection (Q)
|
91% |
2925
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
7805
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
10845
128.9 IPS |
|
|
Face Detection (Q)
|
100% |
7228
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13824
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14551
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12713
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33400
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39638
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36078
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8095
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8457
312.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6905
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.8 IPS |
