iPhone18,2
Geekbench AI Score
5058
Single Precision Score
36031
Half Precision Score
49446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 01:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2353
437.6 IPS |
|
|
Image Classification (HP)
|
100% |
16410
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22308
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19663
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25532
413.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151687
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
283198
331.9 IPS |
|
|
Object Detection (SP)
|
100% |
2584
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
17272
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25099
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
40747
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
52875
628.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104508
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168459
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24008
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
252834
325.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352005
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5324
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55665
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85302
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6412
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11254
193.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12584
217.5 IPS |
