iPhone18,4
Geekbench AI Score
7100
Single Precision Score
15042
Half Precision Score
15330
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3957
735.9 IPS |
|
|
Image Classification (HP)
|
100% |
7440
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6882
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5345
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8951
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9286
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16488
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40262
47.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
53328
62.5 IPS |
|
|
Object Detection (SP)
|
100% |
3008
238.6 IPS |
|
|
Object Detection (HP)
|
100% |
7534
597.6 IPS |
|
|
Object Detection (Q)
|
93% |
7194
573.9 IPS |
|
|
Face Detection (SP)
|
100% |
10884
129.3 IPS |
|
|
Face Detection (HP)
|
100% |
21275
252.8 IPS |
|
|
Face Detection (Q)
|
100% |
15939
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14823
114.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33655
259.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35442
276.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36911
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71559
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
85238
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8010
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18296
675.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19628
724.8 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6451
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6356
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4870
84.2 IPS |
