iPhone18,2
Geekbench AI Score
5047
Single Precision Score
35998
Half Precision Score
49216
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jeradhill |
| Upload Date | September 21 2025 02:20 AM |
| Views | 4 |
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% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
16075
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22119
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20097
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25908
420.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9800
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152050
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278017
325.9 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
17424
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25847
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
40401
480.1 IPS |
|
|
Face Detection (Q)
|
100% |
55989
665.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104445
804.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165341
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24087
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
252425
324.5 IPS |
|
|
Style Transfer (Q)
|
96% |
347230
448.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56721
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85082
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6359
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6361
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5225
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11114
191.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11641
201.2 IPS |
