iPhone18,2
Geekbench AI Score
5210
Single Precision Score
36055
Half Precision Score
48975
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:39 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
16107
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21910
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20399
330.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25366
411.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10624
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160121
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297812
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
100% |
17340
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25406
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
40781
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
53298
633.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104755
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170182
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25517
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259214
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350853
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56486
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84879
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5278
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10915
188.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11969
206.8 IPS |
