iPhone18,5
Geekbench AI Score
4444
Single Precision Score
7498
Half Precision Score
5972
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | March 15 2026 10:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone18,5 |
| Model ID | iPhone18,5 |
| Motherboard | V159AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3256
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8623
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17123
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14577
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3608
287.2 IPS |
|
|
Object Detection (Q)
|
94% |
2528
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3734
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7797
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12945
100.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9100
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20339
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35792
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29462
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6681
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6335
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4264
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6659
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6704
115.8 IPS |
