iPhone18,2
Geekbench AI Score
5021
Single Precision Score
36074
Half Precision Score
49586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:08 AM |
| Views | 1 |
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 | 4.25 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
437.1 IPS |
|
|
Image Classification (HP)
|
100% |
16216
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22004
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20107
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24713
400.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9585
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
146287
170.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
279981
328.2 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
17296
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25550
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
41163
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56857
675.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104324
803.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
171810
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23836
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258010
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
353232
455.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5493
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56580
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84584
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6437
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6446
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11212
193.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12281
212.2 IPS |
