iPhone18,2
Geekbench AI Score
5074
Single Precision Score
8252
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2362
439.4 IPS |
|
|
Image Classification (HP)
|
100% |
3685
685.2 IPS |
|
|
Image Classification (Q)
|
96% |
2427
453.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10570
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18825
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16095
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.8 IPS |
|
|
Object Detection (Q)
|
94% |
2852
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8432
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4296
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14185
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10009
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24238
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37574
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31164
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5406
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6860
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5925
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5245
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9315
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9145
158.0 IPS |
