iPhone18,2
Geekbench AI Score
5061
Single Precision Score
36071
Half Precision Score
49540
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:23 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
16391
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21843
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20213
327.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25574
414.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10066
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151886
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
287877
337.4 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
17433
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25338
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4416
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
41093
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
55827
663.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103506
797.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162593
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24047
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256229
329.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351801
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55944
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85361
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6370
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10947
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12576
217.3 IPS |
