iPhone17,2
Geekbench AI Score
4577
Single Precision Score
7757
Half Precision Score
6203
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KEN1959 |
| Upload Date | November 11 2024 04:53 PM |
| Views | 14 |
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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9116
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18496
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15499
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7451
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4233
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7828
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14284
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9941
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24456
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37526
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31018
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5723
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6943
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5800
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7035
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7037
121.6 IPS |
