iPhone18,2
Geekbench AI Score
5026
Single Precision Score
35924
Half Precision Score
48747
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:04 AM |
| Views | 1 |
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% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
16470
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22166
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20295
329.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24761
401.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10137
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154815
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
285382
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
17682
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25280
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
40523
481.5 IPS |
|
|
Face Detection (Q)
|
100% |
55483
659.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103964
801.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167316
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23794
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259100
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350077
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56163
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84138
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5762
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5241
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11078
190.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12231
211.4 IPS |
