iPhone18,2
Geekbench AI Score
4879
Single Precision Score
35992
Half Precision Score
49579
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jamesjingyi |
| Upload Date | October 23 2025 12:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1923
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
16339
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22520
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19673
318.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24332
394.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9237
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
148827
173.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
284886
333.9 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
17561
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
26029
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
41161
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56216
668.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104398
804.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165097
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23832
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257175
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351680
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55473
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87699
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3542
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6553
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10810
186.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12152
210.0 IPS |
