iPhone18,2
Geekbench AI Score
5096
Single Precision Score
36608
Half Precision Score
50179
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Sorion |
| Upload Date | December 13 2025 11:03 PM |
| Views | 12 |
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% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
16583
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22307
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20483
332.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26141
423.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10173
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155357
181.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294257
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
17582
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25763
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
41297
490.7 IPS |
|
|
Face Detection (Q)
|
100% |
56605
672.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8377
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105114
809.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167774
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24209
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258761
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351537
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57285
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85867
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11204
193.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12452
215.2 IPS |
