iPhone18,4
Geekbench AI Score
4840
Single Precision Score
35205
Half Precision Score
48720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 01:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
16171
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
23177
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18979
307.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24659
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148529
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
277418
325.2 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
17391
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24387
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
41103
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
52378
622.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101212
779.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168850
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23627
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257538
331.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351574
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55532
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83299
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4878
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9657
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11731
202.7 IPS |
