iPhone18,2
Geekbench AI Score
9081
Single Precision Score
16471
Half Precision Score
16977
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 05:10 PM |
| Views | 4 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4246
789.6 IPS |
|
|
Image Classification (HP)
|
100% |
7995
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7445
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9562
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10596
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20289
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53983
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59322
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8042
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
11791
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
23092
274.4 IPS |
|
|
Face Detection (Q)
|
100% |
18209
216.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17939
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35399
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38237
298.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43787
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95614
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119843
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18574
685.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22227
820.7 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6514
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4606
79.6 IPS |
