iPhone18,2
Geekbench AI Score
5029
Single Precision Score
36303
Half Precision Score
49513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:49 AM |
| 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 | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (HP)
|
100% |
16528
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21074
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20144
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26213
424.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152433
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
296631
347.7 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.1 IPS |
|
|
Object Detection (HP)
|
100% |
17644
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25415
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4323
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
41261
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57632
684.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104739
806.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162378
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24022
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258575
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
349843
451.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5364
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55851
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84678
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6335
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11152
192.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12109
209.3 IPS |
