iPhone18,2
Geekbench AI Score
5122
Single Precision Score
36176
Half Precision Score
49778
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:32 AM |
| 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% |
2374
441.4 IPS |
|
|
Image Classification (HP)
|
100% |
16072
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21833
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19947
323.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25012
405.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153393
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294038
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
17884
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25377
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
41388
491.8 IPS |
|
|
Face Detection (Q)
|
100% |
56854
675.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8490
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104308
803.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168561
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24587
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
255289
328.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351175
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55735
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85128
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6463
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5205
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11006
189.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12381
214.0 IPS |
