iPhone18,2
Geekbench AI Score
5124
Single Precision Score
8402
Half Precision Score
6543
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | September 22 2025 08:03 PM |
| Views | 3 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10439
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19293
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15129
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
4119
328.0 IPS |
|
|
Object Detection (Q)
|
94% |
2798
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8443
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4338
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14249
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9912
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25022
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38376
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31532
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5575
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6911
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4947
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6626
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6420
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9379
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9360
161.8 IPS |
