iPhone17,2
Geekbench AI Score
4437
Single Precision Score
7641
Half Precision Score
6070
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2002
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8660
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17798
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14927
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7323
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7535
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13907
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9522
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23288
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36868
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30071
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6806
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4773
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6953
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
