iPhone18,2
Geekbench AI Score
5019
Single Precision Score
36292
Half Precision Score
48905
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | September 20 2025 04:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
16819
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21754
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19672
318.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24643
399.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148394
173.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
270838
317.4 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
17704
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25229
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
40424
480.3 IPS |
|
|
Face Detection (Q)
|
100% |
54253
644.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8354
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104921
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166761
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23631
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
257688
331.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350369
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58225
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84727
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6485
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11050
190.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12382
214.0 IPS |
