iPhone18,3
Geekbench AI Score
7962
Single Precision Score
15677
Half Precision Score
15525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3646
678.0 IPS |
|
|
Image Classification (HP)
|
100% |
7228
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6414
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5027
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8756
141.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9095
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18415
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51027
59.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58061
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
7418
588.4 IPS |
|
|
Object Detection (Q)
|
93% |
6734
537.2 IPS |
|
|
Face Detection (SP)
|
100% |
9309
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
19038
226.2 IPS |
|
|
Face Detection (Q)
|
100% |
14878
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15862
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34348
264.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35409
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38753
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90871
116.8 IPS |
|
|
Style Transfer (Q)
|
96% |
105967
136.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9206
339.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18636
688.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19263
711.3 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6295
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5357
92.6 IPS |
