iPhone18,2
Geekbench AI Score
5087
Single Precision Score
36253
Half Precision Score
49776
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 08:45 AM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (HP)
|
100% |
16237
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21620
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19953
323.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25874
419.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9656
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153351
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293316
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
17609
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25517
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
41129
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
56234
668.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8263
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104891
808.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165138
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24154
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257758
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350010
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56406
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85829
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6477
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5187
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11146
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12344
213.3 IPS |
