iPhone17,2
Geekbench AI Score
4329
Single Precision Score
7546
Half Precision Score
5974
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:45 PM |
| Views | 1 |
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% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8214
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
16814
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14138
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2016
159.9 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2594
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7325
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4047
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7272
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13529
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9259
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22486
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35867
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29026
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5228
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6820
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6971
120.5 IPS |
