iPhone18,2
Geekbench AI Score
5176
Single Precision Score
36293
Half Precision Score
49119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | December 21 2025 02:32 PM |
| Views | 3 |
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% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
16600
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
21933
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20268
328.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25962
420.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10683
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160305
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
298271
349.6 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
17771
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25079
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4687
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
41414
492.1 IPS |
|
|
Face Detection (Q)
|
100% |
49538
588.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104085
801.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167676
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24803
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
260186
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
353613
456.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5813
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56533
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84818
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6028
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6447
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10824
186.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11952
206.5 IPS |
