iPhone18,2
Geekbench AI Score
5136
Single Precision Score
36148
Half Precision Score
48664
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:50 PM |
| Views | 6 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
16014
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
20977
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20149
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25673
416.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10958
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160231
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
297201
348.3 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
17611
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25216
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41137
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
50943
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8393
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104422
804.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166621
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24471
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258606
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350598
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5412
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55897
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85630
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6264
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5246
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10759
185.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11877
205.3 IPS |
