[iOS 18.2 beta 3] iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4592
Single Precision Score
7818
Half Precision Score
6250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | November 13 2024 03:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9257
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18826
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15773
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7557
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4271
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7927
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14283
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9957
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24421
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38008
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31111
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5723
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5964
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6049
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7054
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
