iPhone17,2
Geekbench AI Score
4532
Single Precision Score
7745
Half Precision Score
6204
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | EricExtreme |
| Upload Date | September 21 2024 12:04 AM |
| Views | 3 |
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% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9000
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18345
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15664
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2126
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4213
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7764
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14138
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9830
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24049
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37774
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30824
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5669
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7030
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
