iPhone18,2
Geekbench AI Score
5070
Single Precision Score
35888
Half Precision Score
48856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chaunton |
| Upload Date | December 28 2025 06:31 AM |
| Views | 18 |
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% |
2322
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
16562
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22225
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20205
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25681
416.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10533
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
143903
167.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
267582
313.6 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
17952
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25595
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
40883
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
56643
673.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105186
810.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
165711
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24353
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258444
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351707
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55813
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85186
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10885
187.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12069
208.6 IPS |
