iPhone18,1
Geekbench AI Score
5013
Single Precision Score
36212
Half Precision Score
49510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | huebs |
| Upload Date | December 21 2025 08:53 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
16451
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21466
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19722
319.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24620
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152623
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285286
334.4 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
17699
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25557
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4238
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57081
678.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105013
809.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170375
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24030
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
255120
328.0 IPS |
|
|
Style Transfer (Q)
|
96% |
347974
449.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56498
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84715
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6339
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11206
193.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12581
217.4 IPS |
