iPhone18,2
Geekbench AI Score
5060
Single Precision Score
8281
Half Precision Score
6509
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 03:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.4 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10277
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18086
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15573
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
4092
325.7 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8418
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4293
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8191
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14040
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9896
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24086
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37184
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30552
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6881
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6317
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5210
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9602
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9559
165.2 IPS |
