iPhone18,2
Geekbench AI Score
9120
Single Precision Score
16969
Half Precision Score
17506
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4337
806.6 IPS |
|
|
Image Classification (HP)
|
100% |
8171
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7448
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6098
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9595
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20328
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54099
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59191
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8046
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11835
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
23173
275.3 IPS |
|
|
Face Detection (Q)
|
100% |
18011
214.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17990
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35550
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38793
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43652
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96394
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120581
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10423
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18881
697.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22397
827.0 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5989
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6025
104.1 IPS |
