iPhone18,2
Geekbench AI Score
5108
Single Precision Score
36111
Half Precision Score
49077
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 01:01 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
16053
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22071
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19666
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24930
404.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152852
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292769
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
17259
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25484
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
40550
481.8 IPS |
|
|
Face Detection (Q)
|
100% |
49295
585.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104473
804.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176540
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
24314
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
252522
324.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350657
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5595
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59319
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85217
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10984
189.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11821
204.3 IPS |
