iPhone 16 Pro
Geekbench AI Score
4459
Single Precision Score
7622
Half Precision Score
6079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 31 2024 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.5 IPS |
|
|
Image Classification (Q)
|
96% |
2252
420.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8819
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17624
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14798
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7312
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7475
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13729
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9630
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23485
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36430
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29549
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4723
174.4 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5994
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6944
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6876
118.8 IPS |
