iPhone17,5
Geekbench AI Score
4165
Single Precision Score
7246
Half Precision Score
5758
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 17 2025 06:48 PM |
| Views | 7 |
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% |
1953
363.2 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.3 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8125
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16660
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13992
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (HP)
|
97% |
3623
288.4 IPS |
|
|
Object Detection (Q)
|
94% |
2546
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6825
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3823
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13034
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9015
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21305
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35270
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28374
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6693
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4652
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5904
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5885
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5874
101.5 IPS |
