iPhone18,2
Geekbench AI Score
5048
Single Precision Score
8300
Half Precision Score
6474
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:45 PM |
| Views | 2 |
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% |
2315
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
3725
692.7 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18774
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15611
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
4142
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2808
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8365
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4263
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14056
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10001
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23892
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37497
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30863
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4864
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8967
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8706
150.4 IPS |
