iPhone18,4
Geekbench AI Score
5062
Single Precision Score
34984
Half Precision Score
48807
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
15017
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
21101
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19516
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24676
400.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10215
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154324
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
296735
347.8 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
17312
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24483
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
40145
477.0 IPS |
|
|
Face Detection (Q)
|
100% |
54629
649.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8263
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
102992
793.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174290
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24350
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259032
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
347297
448.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5415
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56093
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82037
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6396
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9032
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11689
202.0 IPS |
