iPhone17,2
Geekbench AI Score
4525
Single Precision Score
7780
Half Precision Score
6198
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3373
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8998
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18409
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15468
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4219
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14205
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9779
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24094
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37499
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30738
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6015
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7048
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6981
120.6 IPS |
