iPhone18,2
Geekbench AI Score
5131
Single Precision Score
8307
Half Precision Score
6548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 10:56 PM |
| Views | 5 |
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% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
3784
703.7 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10552
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18857
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16128
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
97% |
4175
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2844
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4363
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8443
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14194
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9892
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24030
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38119
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31102
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6964
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5942
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5259
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9472
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9256
160.0 IPS |
