iPhone18,2
Geekbench AI Score
5001
Single Precision Score
36356
Half Precision Score
49229
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:34 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (HP)
|
100% |
16917
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
22142
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19951
323.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25782
417.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9645
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153036
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
287663
337.2 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
17358
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25899
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4459
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
41201
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
53206
632.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104698
806.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165338
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24058
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258611
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351560
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56454
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84380
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6317
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11238
193.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11926
206.1 IPS |
