iPhone18,2
Geekbench AI Score
5191
Single Precision Score
36114
Half Precision Score
48957
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2353
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
16078
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22699
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20125
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25394
411.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10493
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159432
186.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
297425
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
17710
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25843
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41105
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
50454
599.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104169
802.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
163274
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25077
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258928
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351552
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5672
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56530
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86083
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5396
92.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11021
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11828
204.4 IPS |
