iPhone18,2
Geekbench AI Score
5074
Single Precision Score
8188
Half Precision Score
6509
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | lautajo |
| Upload Date | December 05 2025 04:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.8 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10602
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18855
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16402
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2857
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4401
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13998
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9956
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24292
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37561
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30826
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4884
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6049
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5784
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5321
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8578
148.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9198
158.9 IPS |
