iPhone18,2
Geekbench AI Score
4855
Single Precision Score
36193
Half Precision Score
49715
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:40 AM |
| Views | 1 |
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 | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
16264
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21327
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19613
317.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25106
407.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9214
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
150278
175.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297392
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
17780
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25511
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
41126
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
56141
667.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103999
801.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176654
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
22421
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
253120
325.4 IPS |
|
|
Style Transfer (Q)
|
96% |
352298
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58250
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85436
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6501
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6430
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4584
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11039
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11829
204.4 IPS |
