iPhone18,2
Geekbench AI Score
5253
Single Precision Score
36237
Half Precision Score
49392
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Mobilexperts |
| Upload Date | November 01 2025 04:52 AM |
| Views | 5 |
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% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
16166
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22376
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20097
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25321
410.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160419
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
298080
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
17985
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
24925
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
40787
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
56800
674.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8695
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105913
816.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166474
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25485
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258823
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351152
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5733
211.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57158
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85111
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5944
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5977
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5420
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10965
188.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12154
210.0 IPS |
