iPhone18,2
Geekbench AI Score
5048
Single Precision Score
36361
Half Precision Score
49946
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | matta |
| Upload Date | November 25 2025 07:21 AM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
16133
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22802
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19623
318.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24950
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9745
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153300
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285370
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
18055
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25948
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
41162
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
57475
682.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8401
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104856
807.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
172243
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24370
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258218
331.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351182
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56119
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85922
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6652
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6309
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11082
190.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12169
210.3 IPS |
