iPhone18,2
Geekbench AI Score
5073
Single Precision Score
8299
Half Precision Score
6477
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:49 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% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
3663
681.3 IPS |
|
|
Image Classification (Q)
|
96% |
2443
456.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10503
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18626
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16199
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
4106
326.9 IPS |
|
|
Object Detection (Q)
|
94% |
2786
222.1 IPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8411
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4206
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8034
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14065
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9458
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23667
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37608
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30899
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6986
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4901
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6021
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5171
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9038
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9459
163.5 IPS |
