iPhone17,5
Geekbench AI Score
1941
Single Precision Score
3207
Half Precision Score
2529
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jfi |
| Upload Date | April 18 2025 07:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
850
158.0 IPS |
|
|
Image Classification (HP)
|
100% |
1339
248.9 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1352
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
8169
9.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
6923
8.11 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (HP)
|
97% |
1610
128.2 IPS |
|
|
Object Detection (Q)
|
94% |
1115
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
1646
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3623
27.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
6183
47.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4259
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8790
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16019
20.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13063
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3020
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2134
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2407
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2498
43.2 IPS |
