iPhone18,2
Geekbench AI Score
5171
Single Precision Score
36205
Half Precision Score
48908
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:07 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
16696
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21417
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19911
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25717
416.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10964
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160546
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298174
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17325
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25349
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
40395
480.0 IPS |
|
|
Face Detection (Q)
|
100% |
51328
609.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104230
803.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164067
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24592
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259443
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
352475
454.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56191
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85562
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6179
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6200
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11035
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11947
206.5 IPS |
