iPhone18,2
Geekbench AI Score
4942
Single Precision Score
35708
Half Precision Score
48168
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
16520
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22217
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19457
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25493
413.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9208
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
142770
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
265683
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
18341
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26105
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
41125
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
53692
638.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8213
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103383
796.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167410
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22896
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
240078
308.6 IPS |
|
|
Style Transfer (Q)
|
96% |
316789
408.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56841
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81854
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6676
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6587
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4978
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10338
178.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11149
192.7 IPS |
