iPhone18,2
Geekbench AI Score
5046
Single Precision Score
8319
Half Precision Score
6463
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:37 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% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.6 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3050
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3423
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9897
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18434
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15490
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
4092
325.8 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
8288
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4190
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14124
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9800
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24255
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37377
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29301
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4891
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6723
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6600
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5219
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9157
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9262
160.1 IPS |
