iPhone18,2
Geekbench AI Score
5241
Single Precision Score
36341
Half Precision Score
49367
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2350
437.0 IPS |
|
|
Image Classification (HP)
|
100% |
16180
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22058
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20597
333.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25590
414.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
159421
186.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
297594
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (HP)
|
100% |
17710
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25151
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
40787
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
52579
624.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104380
804.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166282
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24949
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259184
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350508
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57548
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86729
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6103
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11006
189.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12546
216.8 IPS |
