iPhone18,2
Geekbench AI Score
5129
Single Precision Score
36136
Half Precision Score
49569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:45 PM |
| Views | 4 |
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% |
2364
439.6 IPS |
|
|
Image Classification (HP)
|
100% |
16314
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22507
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20132
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26077
422.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10617
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160130
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
298642
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
17728
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
24806
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
41038
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
55324
657.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8403
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105325
811.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170730
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24413
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259060
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351487
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56532
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85135
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10871
187.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12492
215.9 IPS |
