iPhone18,2
Geekbench AI Score
5127
Single Precision Score
36437
Half Precision Score
49253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | October 17 2025 05:18 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 | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
16095
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
20893
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20395
330.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25599
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10299
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159609
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297866
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
17714
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25017
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4635
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
41121
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
56792
674.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105427
812.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164363
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24694
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259717
333.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350317
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5658
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57163
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85030
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6222
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6142
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5234
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11101
191.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12345
213.3 IPS |
