iPhone18,2
Geekbench AI Score
5154
Single Precision Score
36154
Half Precision Score
48915
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
16630
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22545
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20488
332.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26165
424.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10805
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160853
187.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
298444
349.8 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
17284
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25162
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
41212
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
50048
594.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105185
810.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168485
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24513
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259354
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350073
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56813
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83972
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10820
186.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12171
210.3 IPS |
