iPhone18,4
Geekbench AI Score
4899
Single Precision Score
32871
Half Precision Score
48046
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 04:03 AM |
| Views | 1 |
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% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
15350
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
22613
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19407
314.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24845
402.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9701
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
102254
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
275420
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
17409
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24617
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4030
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
37546
446.1 IPS |
|
|
Face Detection (Q)
|
100% |
52257
620.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8213
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98063
755.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163135
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23208
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231961
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
314836
406.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5363
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54278
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86688
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6376
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9247
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11602
200.5 IPS |
