iPhone18,2
Geekbench AI Score
5151
Single Precision Score
36311
Half Precision Score
49343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2343
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
16092
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22977
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20052
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24938
404.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10219
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
156417
182.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
288207
337.8 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
17305
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25092
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4667
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40666
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
52175
620.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8575
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105038
809.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164482
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25074
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258681
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350903
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5667
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58794
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87801
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5219
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10848
186.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12296
212.5 IPS |
