iPhone17,5
Geekbench AI Score
4180
Single Precision Score
7264
Half Precision Score
5827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | March 16 2025 02:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1927
358.3 IPS |
|
|
Image Classification (HP)
|
100% |
3188
592.9 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8153
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
16979
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14256
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
97% |
3668
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3177
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6909
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3852
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13550
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9416
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21833
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35352
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29057
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6377
235.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4685
173.0 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5867
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5864
101.3 IPS |
