iPhone18,2
Geekbench AI Score
5129
Single Precision Score
8335
Half Precision Score
6568
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3417
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10817
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19324
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16486
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4126
328.5 IPS |
|
|
Object Detection (Q)
|
94% |
2887
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4460
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14175
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10103
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24492
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37710
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31223
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6091
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9666
167.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9266
160.1 IPS |
