iPhone18,2
Geekbench AI Score
5133
Single Precision Score
36485
Half Precision Score
49734
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
16711
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
22618
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19928
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25437
412.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10045
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154992
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
296868
347.9 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
17356
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24903
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40816
485.0 IPS |
|
|
Face Detection (Q)
|
100% |
57296
680.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8196
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104915
808.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
178113
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
24911
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257074
330.5 IPS |
|
|
Style Transfer (Q)
|
96% |
316226
408.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57818
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85331
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6435
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11334
195.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12284
212.3 IPS |
