iPhone18,2
Geekbench AI Score
4849
Single Precision Score
36190
Half Precision Score
49974
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KennyO |
| Upload Date | December 01 2025 11:06 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
16174
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21759
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20026
324.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25046
406.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9950
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152743
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297541
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
17523
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25382
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
40154
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
58431
694.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7042
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103880
800.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169101
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258409
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351711
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58713
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87135
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3554
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6499
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10809
186.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12089
208.9 IPS |
