iPhone18,2
Geekbench AI Score
5200
Single Precision Score
36199
Half Precision Score
49072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
16157
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21497
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19750
320.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25403
411.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10708
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160958
187.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
298891
350.3 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
17740
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25044
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40644
482.9 IPS |
|
|
Face Detection (Q)
|
100% |
51331
609.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8678
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104270
803.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171467
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25520
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259224
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352110
454.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58122
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86361
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6136
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5278
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10756
185.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12064
208.5 IPS |
