iPhone17,5
Geekbench AI Score
1853
Single Precision Score
3171
Half Precision Score
2498
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | March 31 2025 05:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
836
155.4 IPS |
|
|
Image Classification (HP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (Q)
|
96% |
879
164.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1382
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3761
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
8003
9.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
6834
8.01 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
97% |
1618
128.8 IPS |
|
|
Object Detection (Q)
|
94% |
1121
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (Q)
|
100% |
1655
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3507
27.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6196
47.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4248
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10354
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15945
20.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13024
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2044
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2427
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2229
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2242
38.7 IPS |
