iPhone18,2
Geekbench AI Score
5046
Single Precision Score
8192
Half Precision Score
6514
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | September 20 2025 03:20 PM |
| Views | 5 |
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% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9941
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18150
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15403
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
4060
323.2 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4445
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8077
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4212
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13757
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9860
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24269
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37178
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30907
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6825
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4912
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6440
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9394
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9578
165.5 IPS |
