iPhone18,2
Geekbench AI Score
5138
Single Precision Score
8346
Half Precision Score
6508
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.8 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19139
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16209
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4103
326.6 IPS |
|
|
Object Detection (Q)
|
94% |
2810
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8389
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14216
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9866
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24581
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37676
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31010
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5415
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6854
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9536
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9073
156.8 IPS |
