iPhone18,2
Geekbench AI Score
5085
Single Precision Score
35956
Half Precision Score
48842
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | October 09 2025 11:45 PM |
| Views | 3 |
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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16556
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21915
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19651
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25578
414.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152112
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
282051
330.6 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
17492
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24030
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
40677
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
55908
664.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104402
804.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167335
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24427
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
256450
329.7 IPS |
|
|
Style Transfer (Q)
|
96% |
348485
449.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56589
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84812
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6158
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11036
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11943
206.4 IPS |
