iPhone18,2
Geekbench AI Score
4977
Single Precision Score
36070
Half Precision Score
48984
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16289
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22114
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19756
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24239
392.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9798
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151690
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
276461
324.0 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
17884
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25599
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
40507
481.3 IPS |
|
|
Face Detection (Q)
|
100% |
55961
664.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104645
806.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171441
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23131
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
253400
325.7 IPS |
|
|
Style Transfer (Q)
|
96% |
346312
446.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56366
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84940
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6315
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6333
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11171
192.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11732
202.7 IPS |
