iPhone18,2
Geekbench AI Score
5173
Single Precision Score
8476
Half Precision Score
6689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 04:57 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% |
2356
438.2 IPS |
|
|
Image Classification (HP)
|
100% |
3808
708.2 IPS |
|
|
Image Classification (Q)
|
96% |
2525
471.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10637
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19406
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16212
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (HP)
|
97% |
4221
336.0 IPS |
|
|
Object Detection (Q)
|
94% |
2911
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8584
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4489
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14397
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10130
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25178
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39134
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32122
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6203
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5344
92.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9485
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9695
167.5 IPS |
