iPhone18,2
Geekbench AI Score
5079
Single Precision Score
8312
Half Precision Score
6517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 06:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.3 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3394
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10156
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18813
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15750
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.8 IPS |
|
|
Object Detection (Q)
|
94% |
2793
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8350
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
4281
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8005
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14107
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9865
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24425
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37745
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31325
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6188
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9398
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9233
159.6 IPS |
