iPhone18,4
Geekbench AI Score
4890
Single Precision Score
34346
Half Precision Score
47404
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | hidko |
| Upload Date | September 26 2025 07:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2331
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
14769
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
22066
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19524
316.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24042
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9784
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
146973
171.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
276181
323.7 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
17352
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24134
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4164
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
40675
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
52319
621.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7941
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99401
765.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166985
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23445
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232257
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
315406
407.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53910
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79846
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6395
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9580
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11519
199.1 IPS |
