iPhone18,2
Geekbench AI Score
9029
Single Precision Score
16344
Half Precision Score
16977
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 06:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4232
787.0 IPS |
|
|
Image Classification (HP)
|
100% |
7941
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7479
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5969
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9469
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10417
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20129
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53495
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57772
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4377
347.2 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8045
641.8 IPS |
|
|
Face Detection (SP)
|
100% |
11546
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23102
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17875
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17848
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34850
268.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37868
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43165
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93844
120.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119028
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10419
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18350
677.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22272
822.4 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4807
83.1 IPS |
