iPhone17,5
Geekbench AI Score
4224
Single Precision Score
7286
Half Precision Score
5777
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | CharlesDorer |
| Upload Date | April 19 2025 03:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3237
602.0 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3201
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8275
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16968
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14232
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.6 IPS |
|
|
Object Detection (HP)
|
97% |
3652
290.7 IPS |
|
|
Object Detection (Q)
|
94% |
2543
202.7 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6656
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3793
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7424
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13501
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8849
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17065
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34367
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28225
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4811
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5828
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5918
102.3 IPS |
