iPhone17,2
Geekbench AI Score
4447
Single Precision Score
7595
Half Precision Score
6051
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 09:41 AM |
| Views | 2 |
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% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8628
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17628
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14868
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2110
167.4 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4029
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7493
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13781
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9594
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23265
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36120
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29887
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4940
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5681
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3779
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6968
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6932
119.8 IPS |
