iPhone18,2
Geekbench AI Score
5165
Single Precision Score
36424
Half Precision Score
49152
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Possum |
| Upload Date | November 08 2025 08:27 PM |
| Views | 3 |
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% |
2302
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
16825
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21334
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19951
323.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25429
412.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10419
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160087
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297939
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
17707
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24961
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4705
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
41406
492.0 IPS |
|
|
Face Detection (Q)
|
100% |
57245
680.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104754
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160659
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24608
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259078
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351174
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56275
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85294
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11038
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12105
209.2 IPS |
