iPhone17,5
Geekbench AI Score
4062
Single Precision Score
7109
Half Precision Score
5655
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 17 2025 03:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1913
355.8 IPS |
|
|
Image Classification (HP)
|
100% |
3202
595.6 IPS |
|
|
Image Classification (Q)
|
96% |
2167
404.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7842
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16016
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13759
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (HP)
|
97% |
3632
289.1 IPS |
|
|
Object Detection (Q)
|
94% |
2492
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6704
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3783
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6888
53.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13145
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8969
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21101
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33979
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27649
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6369
235.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4504
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6134
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6033
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5439
94.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5450
94.2 IPS |
