iPhone18,2
Geekbench AI Score
4376
Single Precision Score
7086
Half Precision Score
5562
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 06:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1864
346.6 IPS |
|
|
Image Classification (HP)
|
100% |
2987
555.6 IPS |
|
|
Image Classification (Q)
|
96% |
1969
367.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2885
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9008
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16551
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14087
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
97% |
3407
271.2 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
6842
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3669
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7320
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12287
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8496
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21659
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32597
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26576
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4319
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8027
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7849
135.6 IPS |
