iPhone18,2
Geekbench AI Score
5146
Single Precision Score
35973
Half Precision Score
49213
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:12 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
16122
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21512
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20019
324.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25446
412.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10219
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155699
181.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292784
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
17609
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25068
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4604
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
40984
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
56339
669.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104573
805.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169951
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24845
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259262
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351130
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5565
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56590
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85152
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5971
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5344
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10925
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12008
207.5 IPS |
