iPhone18,2
Geekbench AI Score
5046
Single Precision Score
8277
Half Precision Score
6475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | October 04 2025 11:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
3676
683.6 IPS |
|
|
Image Classification (Q)
|
96% |
2466
460.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9952
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18643
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15713
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.7 IPS |
|
|
Object Detection (HP)
|
97% |
4137
329.3 IPS |
|
|
Object Detection (Q)
|
94% |
2734
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8154
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14039
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9822
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24230
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37542
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30514
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6300
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9353
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9311
160.9 IPS |
