iPhone18,2
Geekbench AI Score
5151
Single Precision Score
8389
Half Precision Score
6611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:19 PM |
| Views | 3 |
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% |
2258
420.0 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.4 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10416
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18478
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15983
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
4154
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2825
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8444
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4300
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14250
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24556
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38568
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31616
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6525
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6474
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5257
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9428
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9669
167.1 IPS |
