iPhone17,2
Geekbench AI Score
4238
Single Precision Score
7425
Half Precision Score
5893
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | October 29 2024 08:31 PM |
| Views | 2 |
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% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7906
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
16169
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14011
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
97% |
3613
287.6 IPS |
|
|
Object Detection (Q)
|
94% |
2539
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6978
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3951
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13078
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8988
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21784
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34932
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28022
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6734
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4708
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6860
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6913
119.5 IPS |
