iPhone17,2
Geekbench AI Score
4343
Single Precision Score
7546
Half Precision Score
6019
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ciocan |
| Upload Date | October 12 2024 01:37 PM |
| Views | 7 |
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% |
1955
363.6 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.6 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3310
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8042
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16715
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14297
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (HP)
|
97% |
3689
293.7 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7317
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4040
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7261
55.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13632
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9386
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22895
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35994
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29597
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5900
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6925
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7018
121.3 IPS |
