iPhone18,2
Geekbench AI Score
5097
Single Precision Score
8297
Half Precision Score
6525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
3662
681.0 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2979
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10554
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19068
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15951
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
97% |
4140
329.6 IPS |
|
|
Object Detection (Q)
|
94% |
2811
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
8312
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
4276
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13952
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9791
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24287
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37605
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30540
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3583
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6387
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5261
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9352
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9397
162.4 IPS |
