iPhone17,5
Geekbench AI Score
4004
Single Precision Score
6829
Half Precision Score
5475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | roberotto |
| Upload Date | October 12 2025 05:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.5 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2723
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3125
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7519
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15267
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12897
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
97% |
3442
274.0 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5978
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6823
52.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11909
92.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8228
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15980
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32491
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26131
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6859
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4641
171.4 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5091
88.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5713
98.7 IPS |
