iPhone18,2
Geekbench AI Score
4903
Single Precision Score
36488
Half Precision Score
49973
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:57 PM |
| Views | 1 |
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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16510
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22764
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20090
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23962
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
148612
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
277150
324.8 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
17875
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25540
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4186
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
41195
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
56078
666.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8255
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105157
810.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173551
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
23134
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
256429
329.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352064
454.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56302
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86607
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6764
9.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6807
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11225
193.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12455
215.2 IPS |
