iPhone18,3
Geekbench AI Score
4620
Single Precision Score
35450
Half Precision Score
48109
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 04:31 AM |
| Views | 1 |
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% |
2169
403.3 IPS |
|
|
Image Classification (HP)
|
100% |
16230
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21627
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18870
305.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24281
393.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9596
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160676
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298866
350.3 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
17225
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24457
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
40439
480.5 IPS |
|
|
Face Detection (Q)
|
100% |
51089
607.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8090
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102057
786.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161092
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21336
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
253129
325.4 IPS |
|
|
Style Transfer (Q)
|
96% |
346138
446.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56142
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85414
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6028
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10498
180.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11798
203.9 IPS |
