iPhone18,2
Geekbench AI Score
4565
Single Precision Score
35011
Half Precision Score
47533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 04:41 PM |
| Views | 2 |
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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2212
411.4 IPS |
|
|
Image Classification (HP)
|
100% |
16600
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22179
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18884
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22766
369.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8185
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
137917
160.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
261636
306.7 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
17973
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25050
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
40714
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
54289
645.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7671
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99227
764.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166642
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22017
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
248590
319.6 IPS |
|
|
Style Transfer (Q)
|
96% |
341865
441.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55886
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84814
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6316
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9796
168.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10740
185.6 IPS |
