iPhone18,3
Geekbench AI Score
4394
Single Precision Score
35053
Half Precision Score
48363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 11:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
15726
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
21807
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18891
306.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22826
370.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
145976
170.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
285920
335.1 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.8 IPS |
|
|
Object Detection (HP)
|
100% |
17407
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24645
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
39264
466.5 IPS |
|
|
Face Detection (Q)
|
100% |
53879
640.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7759
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99597
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162980
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19508
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
243944
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
343104
442.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55194
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86311
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11017
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12089
208.9 IPS |
