iPhone18,2
Geekbench AI Score
8991
Single Precision Score
16456
Half Precision Score
17103
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4115
765.3 IPS |
|
|
Image Classification (HP)
|
100% |
7426
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6991
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6104
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9550
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10528
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20376
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53990
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59409
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
7924
628.5 IPS |
|
|
Object Detection (Q)
|
93% |
8003
638.5 IPS |
|
|
Face Detection (SP)
|
100% |
11874
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
22911
272.2 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18050
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35785
275.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38836
303.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43815
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95768
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119403
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10399
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18312
676.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22175
818.8 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5435
93.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5412
93.5 IPS |
