iPhone18,2
Geekbench AI Score
5058
Single Precision Score
8261
Half Precision Score
6468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | September 20 2025 04:24 PM |
| Views | 8 |
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% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3678
684.0 IPS |
|
|
Image Classification (Q)
|
96% |
2449
457.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3125
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9595
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18342
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15642
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
97% |
3999
318.3 IPS |
|
|
Object Detection (Q)
|
94% |
2732
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4213
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13808
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9724
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23967
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37392
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30323
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4860
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6471
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9384
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9378
162.1 IPS |
