iPhone18,2
Geekbench AI Score
4926
Single Precision Score
36165
Half Precision Score
49442
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.13 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2321
431.6 IPS |
|
|
Image Classification (HP)
|
100% |
16115
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21354
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20086
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24688
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
150133
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
286026
335.2 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
18031
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25730
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
40872
485.6 IPS |
|
|
Face Detection (Q)
|
100% |
59012
701.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104438
804.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168757
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23410
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252499
324.6 IPS |
|
|
Style Transfer (Q)
|
96% |
344855
445.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56306
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84354
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6550
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11282
194.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11859
204.9 IPS |
