iPhone18,2
Geekbench AI Score
5144
Single Precision Score
36196
Half Precision Score
49174
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 08:07 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (HP)
|
100% |
16108
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22212
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20188
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25599
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10124
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152750
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
284347
333.3 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
17689
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25591
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40553
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
53033
630.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8477
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104809
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163793
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24633
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257497
331.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350930
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57074
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84871
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6321
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5250
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11129
191.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12264
211.9 IPS |
