iPhone17,5
Geekbench AI Score
4001
Single Precision Score
32749
Half Precision Score
46185
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
15587
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20726
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18166
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23758
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7947
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
139871
163.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292070
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
16283
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22821
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
40080
476.2 IPS |
|
|
Face Detection (Q)
|
100% |
56094
666.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7352
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94946
731.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159209
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
16371
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245329
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
307581
396.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49893
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84340
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4652
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5022
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10156
174.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11565
199.9 IPS |
