iPhone18,2
Geekbench AI Score
5146
Single Precision Score
36341
Half Precision Score
49753
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
16156
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22856
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20241
328.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25600
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10503
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
157483
183.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297504
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
17364
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25348
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
41035
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
55743
662.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104845
807.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164830
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24761
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
257162
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351031
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55522
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85004
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6588
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6390
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11103
191.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12025
207.8 IPS |
