iPhone18,2
Geekbench AI Score
5056
Single Precision Score
36058
Half Precision Score
49259
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | checcobai |
| Upload Date | September 27 2025 10:08 PM |
| Views | 10 |
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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
16145
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21912
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20187
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25234
409.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152957
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
278261
326.1 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
17775
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25686
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
40041
475.8 IPS |
|
|
Face Detection (Q)
|
100% |
55575
660.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8272
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104531
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161597
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23922
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
256789
330.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351701
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55487
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84729
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6378
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6568
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5300
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11024
189.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12109
209.3 IPS |
