iPhone18,2
Geekbench AI Score
5201
Single Precision Score
36084
Half Precision Score
49505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:31 PM |
| Views | 8 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
16227
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22686
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20466
331.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25966
420.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10689
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
157318
183.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
295249
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
17561
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25264
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4649
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40725
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
51434
611.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104740
807.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
172726
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25285
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259742
333.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351047
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56512
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86632
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6095
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5316
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10691
184.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12296
212.5 IPS |
