iPhone18,2
Geekbench AI Score
5005
Single Precision Score
36283
Half Precision Score
49017
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:27 AM |
| Views | 3 |
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% |
2356
438.1 IPS |
|
|
Image Classification (HP)
|
100% |
16170
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22126
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20496
332.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24779
401.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9560
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152064
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
283120
331.8 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
17789
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25096
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
40860
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
50270
597.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8386
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104100
802.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167520
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22893
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257373
330.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351043
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55242
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87673
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6423
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5258
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11364
195.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12349
213.4 IPS |
