iPhone18,2
Geekbench AI Score
4942
Single Precision Score
36043
Half Precision Score
49386
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 03:03 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
16091
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21558
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19997
324.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25587
414.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9390
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148065
172.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275358
322.7 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
17386
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25491
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
41095
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
52330
621.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106469
820.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177751
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
23628
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
251887
323.8 IPS |
|
|
Style Transfer (Q)
|
96% |
349987
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56942
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85752
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6444
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6485
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11046
190.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12314
212.8 IPS |
