iPhone18,2
Geekbench AI Score
5059
Single Precision Score
36015
Half Precision Score
49114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
16102
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22548
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20165
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25045
406.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152701
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
277627
325.4 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
17322
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25424
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
41095
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
54863
651.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104711
806.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159350
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23697
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
254502
327.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351812
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5374
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55106
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83712
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6371
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6355
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11120
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12524
216.4 IPS |
