iPhone18,2
Geekbench AI Score
5066
Single Precision Score
36436
Half Precision Score
49477
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2231
415.0 IPS |
|
|
Image Classification (HP)
|
100% |
16355
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21078
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20045
324.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25933
420.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10126
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
159127
185.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297752
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2622
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
17712
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25691
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40806
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
54367
646.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105655
814.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170697
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23873
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259601
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
347722
448.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5519
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57656
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85519
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6305
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6290
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10970
189.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12114
209.3 IPS |
