iPhone18,2
Geekbench AI Score
5143
Single Precision Score
35971
Half Precision Score
49625
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:24 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
16269
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22394
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19990
324.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25928
420.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10488
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
157860
184.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297684
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
17601
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25568
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41023
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
55824
663.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8491
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105540
813.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171022
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24800
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259178
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351646
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5572
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56078
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85316
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10893
187.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12182
210.5 IPS |
