iPhone18,2
Geekbench AI Score
4880
Single Precision Score
36649
Half Precision Score
50145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pure-spirit |
| Upload Date | October 23 2025 05:40 AM |
| Views | 4 |
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 | 4.26 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
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
16755
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
23633
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19753
320.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26027
421.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8096
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
148295
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
273012
320.0 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
18018
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25575
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
40712
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
50944
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8401
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105098
809.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
175909
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
23391
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252934
325.1 IPS |
|
|
Style Transfer (Q)
|
96% |
352749
455.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59301
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89498
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6642
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6731
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5057
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11599
199.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12293
212.4 IPS |
