iPhone18,2
Geekbench AI Score
5236
Single Precision Score
36123
Half Precision Score
48408
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 01:05 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
16196
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22091
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19920
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25302
410.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10983
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160926
187.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297872
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
17406
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25094
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
40248
478.2 IPS |
|
|
Face Detection (Q)
|
100% |
49798
591.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8691
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105310
811.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160771
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25906
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259653
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351119
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56283
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83595
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
6234
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6001
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10843
186.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11995
207.3 IPS |
