iPhone18,2
Geekbench AI Score
5119
Single Precision Score
8342
Half Precision Score
6557
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:37 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
3712
690.3 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10427
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18924
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15825
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
97% |
4164
331.5 IPS |
|
|
Object Detection (Q)
|
94% |
2785
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4225
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8397
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14075
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9866
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24527
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38241
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31332
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6915
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5018
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9403
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9393
162.3 IPS |
