iPhone18,2
Geekbench AI Score
5156
Single Precision Score
35855
Half Precision Score
49771
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
16092
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22394
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19495
316.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25338
410.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10171
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
157063
183.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298028
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
17177
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
25508
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
41042
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
55417
658.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105519
813.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165282
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24892
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259015
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350979
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56488
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85105
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6478
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5436
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11056
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12202
210.9 IPS |
