iPhone18,2
Geekbench AI Score
5095
Single Precision Score
36015
Half Precision Score
49042
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 05:17 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
16145
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22020
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20607
334.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25736
417.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10550
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
158399
184.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
296609
347.6 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
17232
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25192
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
40507
481.3 IPS |
|
|
Face Detection (Q)
|
100% |
55207
656.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104548
805.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162883
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24053
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259544
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352344
454.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56585
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85564
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5297
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11157
192.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12042
208.1 IPS |
