iPhone18,2
Geekbench AI Score
5079
Single Precision Score
36046
Half Precision Score
50262
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 10:07 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
16872
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22958
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19706
319.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25713
416.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153402
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
285393
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
17528
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25841
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
40401
480.1 IPS |
|
|
Face Detection (Q)
|
100% |
60024
713.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8354
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104620
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166784
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24356
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257519
331.0 IPS |
|
|
Style Transfer (Q)
|
96% |
349405
450.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55404
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87692
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6387
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10756
185.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12136
209.7 IPS |
