iPhone17,5
Geekbench AI Score
4258
Single Precision Score
7333
Half Precision Score
5825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3238
602.1 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8312
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16965
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14133
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3694
294.1 IPS |
|
|
Object Detection (Q)
|
94% |
2546
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3834
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7663
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13395
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9242
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17724
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35448
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28873
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6053
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5972
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
