iPhone18,2
Geekbench AI Score
5142
Single Precision Score
8404
Half Precision Score
6584
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:16 AM |
| Views | 2 |
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% |
2323
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
3745
696.4 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10503
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16089
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
4159
331.1 IPS |
|
|
Object Detection (Q)
|
94% |
2806
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8463
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4319
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14158
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9828
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24610
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38175
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31268
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6966
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6520
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9392
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.7 IPS |
