iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4405
Single Precision Score
7617
Half Precision Score
6077
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 18 2024 12:14 AM |
| Views | 3 |
| Notes | 6-core CPU - (2p4e) |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8501
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17343
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14821
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7384
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4138
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7416
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13470
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9518
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23106
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36346
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29694
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6841
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7028
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7010
121.1 IPS |
